Denniston, Christopher E.; Peltzer, Oriana; Ott, Joshua; Moon, Sangwoo; Kim, Sung-Kyun; Sukhatme, Gaurav S.; Kochenderfer, Mykel J.; Schwager, Mac; Agha-mohammadi, Ali-akbar: Fast and Scalable Signal Inference for Active Robotic Source Seeking. CoRR, vol. abs/2301.02362, 2023
Jiang, Yuqian; Gao, Qiaozi; Thattai, Govind; Sukhatme, Gaurav S.: Language-Informed Transfer Learning for Embodied Household Activities. CoRR, vol. abs/2301.05318, 2023
Gao, Qiaozi; Thattai, Govind; Gao, Xiaofeng; Shakiah, Suhaila; Pansare, Shreyas; Sharma, Vasu; Sukhatme, Gaurav S.; Shi, Hangjie; Yang, Bofei; Zheng, Desheng; Hu, Lucy; Arumugam, Karthika; Hu, Shui; Wen, Matthew; Guthy, Dinakar; Chung, Cadence; Khanna, Rohan; Ipek, Osman; Ball, Leslie; Bland, Kate; Rocker, Heather; Rao, Yadunandana; Johnston, Michael; Ghanadan, Reza; Mandal, Arindam; Hakkani-Tþr, Dilek; Natarajan, Prem: Alexa Arena: A User-Centric Interactive Platform for Embodied AI. CoRR, vol. abs/2303.01586, 2023
Denniston, Christopher E.; Salhotra, Gautam; Kangaslahti, Akseli; Caron, David A.; Sukhatme, Gaurav S.: Learned Parameter Selection for Robotic Information Gathering. CoRR, vol. abs/2303.05022, 2023
Huang, Zhehui; Batra, Sumeet; Chen, Tao; Krupani, Rahul; Kumar, Tushar; Molchanov, Artem; Petrenko, Aleksei; Preiss, James A.; Yang, Zhaojing; Sukhatme, Gaurav S.: QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control. CoRR, vol. abs/2306.09537, 2023
Mohamed, Ihab S.; Xu, Junhong; Sukhatme, Gaurav S.; Liu, Lantao: Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. CoRR, vol. abs/2306.12369, 2023
Senbaslar, Baskin; Sukhatme, Gaurav S.: DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments. CoRR, vol. abs/2307.15887, 2023
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Ghosh, Pradipta; Bunton, Jonathan; Pylorof, Dimitrios; Vieira, Marcos A. M.; Chan, Kevin; Govindan, Ramesh; Sukhatme, Gaurav S.; Tabuada, Paulo; Verma, Gunjan: Synthesis of Large-Scale Instant IoT Networks. IEEE Trans. Mob. Comput., vol. 22, no. 3, pp. 1810-1824, 2023
Santos, Renato Fernando; Ramachandran, Ragesh K.; Vieira, Marcos A. M.; Sukhatme, Gaurav S.: Parallel multi-speed Pursuit-Evasion Game algorithms. Robotics Auton. Syst., vol. 163, pp. 104382, 2023
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[Twitter]
[LinkedIn]
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[Other]
Trabucco, Brandon; Sigurdsson, Gunnar A.; Piramuthu, Robinson; Sukhatme, Gaurav S.; Salakhutdinov, Ruslan: A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search. The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, OpenReview.net, 2023
Preiss, James A.; Millard, David; Yao, Tao; Sukhatme, Gaurav S.: Tracking Fast Trajectories with a Deformable Object using a Learned Model. 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, pp. 1351-1357, IEEE, 2022
Heiden, Eric; Denniston, Christopher E.; Millard, David; Ramos, Fabio; Sukhatme, Gaurav S.: Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, pp. 3638-3645, IEEE, 2022
[Video]
Ghosh, Pradipta; Liu, Xiaochen; Qiu, Hang; Vieira, Marcos A. M.; Sukhatme, Gaurav S.; Govindan, Ramesh: Sensing the Sensor: Estimating Camera Properties with Minimal Information. ACM Trans. Sens. Networks, vol. 18, no. 2, pp. 28:1-28:26, 2022
Majumdar, Arjun; Sigurdsson, Gunnar A.; Piramuthu, Robinson; Thomason, Jesse; Batra, Dhruv; Sukhatme, Gaurav S.: SSL Enables Learning from Sparse Rewards in Image-Goal Navigation. Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; SzepesvÆri, Csaba; Niu, Gang; Sabato, Sivan (Ed.): International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, pp. 14774-14785, PMLR, 2022
Bara, Cristian-Paul; Ping, Qing; Mathur, Abhinav; Thattai, Govind; MV, Rohith; Sukhatme, Gaurav S.: Privacy Preserving Visual Question Answering. CoRR, vol. abs/2202.07712, 2022
Adler, Aviv; Mickelin, Oscar; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.; Karaman, Sertac: The Role of Heterogeneity in Autonomous Perimeter Defense Problems. CoRR, vol. abs/2202.10433, 2022
Liu, Jiazhen; Zhou, Lifeng; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.; Kumar, Vijay: Decentralized Risk-Aware Tracking of Multiple Targets. CoRR, vol. abs/2208.02772, 2022
Sharma, Vasu; Goyal, Prasoon; Lin, Kaixiang; Thattai, Govind; Gao, Qiaozi; Sukhatme, Gaurav S.: CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. CoRR, vol. abs/2208.13626, 2022
Dorbala, Vishnu Sashank; Sigurdsson, Gunnar A.; Piramuthu, Robinson; Thomason, Jesse; Sukhatme, Gaurav S.: CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation. CoRR, vol. abs/2211.16649, 2022
Zhao, Yizhou; Gao, Qiaozi; Qiu, Liang; Thattai, Govind; Sukhatme, Gaurav S.: OpenD: A Benchmark for Language-Driven Door and Drawer Opening. CoRR, vol. abs/2212.05211, 2022
Mayya, Siddharth; Ramachandran, Ragesh K.; Zhou, Lifeng; Senthil, Vinay; Thakur, Dinesh; Sukhatme, Gaurav S.; Kumar, Vijay: Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors. IEEE Robotics Autom. Lett., vol. 7, no. 2, pp. 5615-5622, 2022
Gao, Xiaofeng; Gao, Qiaozi; Gong, Ran; Lin, Kaixiang; Thattai, Govind; Sukhatme, Gaurav S.: DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. IEEE Robotics Autom. Lett., vol. 7, no. 4, pp. 10049-10056, 2022
Rayas Fernández, Isabel M.; Denniston, Christopher E.; Caron, David A.; Sukhatme, Gaurav S.: Informative Path Planning to Estimate Quantiles for Environmental Analysis. IEEE Robotics and Automation Letters, 2022. (RA-L) Presented in IEEE International Conference on Intelligent Robots and Systems, 2022. (IROS), 2022
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Salhotra, Gautam; Liu, I-Chun Arthur; Dominguez-Kuhne, Marcus; Sukhatme, Gaurav S.: Learning Deformable Object Manipulation From Expert Demonstrations. IEEE Robotics Autom. Lett., vol. 7, no. 4, pp. 8775-8782, 2022
Denniston, Christopher E.; Chang, Yun; Reinke, Andrzej; Ebadi, Kamak; Sukhatme, Gaurav S.; Carlone, Luca; Morrell, Benjamin; Agha-mohammadi, Ali-akbar: Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM. IEEE Robotics Autom. Lett., vol. 7, no. 4, pp. 9651-9658, 2022
Ramachandran, Ragesh Kumar; Pierpaoli, Pietro; Egerstedt, Magnus; Sukhatme, Gaurav S.: Resilient Monitoring in Heterogeneous Multi-Robot Systems Through Network Reconfiguration. IEEE Trans. Robotics, vol. 38, no. 1, pp. 126-138, 2022
Prorok, Amanda; Kumar, Vijay; Sadler, Brian M.; Sukhatme, Gaurav S.: Introduction to the Special Section on Resilience in Networked Robotic Systems. IEEE Trans. Robotics, vol. 38, no. 1, pp. 2-4, 2022
Zentner, K. R.; Puri, Ujjwal; Zhang, Yulun; Julian, Ryan; Sukhatme, Gaurav S.: Efficient Multi-Task Learning via Iterated Single-Task Transfer. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, pp. 10141-10146, IEEE, 2022
Sutanto, Giovanni; Rombach, Katharina; Chebotar, Yevgen; Su, Zhe; Schaal, Stefan; Sukhatme, Gaurav S.; Meier, Franziska: Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. Int. J. Robotics Res., vol. 41, no. 13-14, pp. 1121-1145, 2022
Adler, Aviv; Mickelin, Oscar; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.; Karaman, Sertac: The Role of Heterogeneity in Autonomous Perimeter Defense Problems. LaValle, Steven M.; O'Kane, Jason M.; Otte, Michael W.; Sadigh, Dorsa; Tokekar, Pratap (Ed.): Algorithmic Foundations of Robotics XV - Proceedings of the Fifteenth Workshop on the Algorithmic Foundations of Robotics, WAFR 2022, College Park, MD, USA, 22-24 June, 2022, pp. 115-131, Springer, 2022
Tang, Bingjie; Sukhatme, Gaurav S.: Selective Object Rearrangement in Clutter. Liu, Karen; Kulic, Dana; Ichnowski, Jeffrey (Ed.): Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, pp. 1001-1010, PMLR, 2022
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Preiss, James A.; Sukhatme, Gaurav S.: Suboptimal coverings for continuous spaces of control tasks. CoRR, vol. abs/2104.11865, 2021
Kemna, Stephanie; Kangaslahti, Sara; Kroemer, Oliver; Sukhatme, Gaurav S.: Adaptive Sampling: Algorithmic vs. Human Waypoint Selection. CoRR, vol. abs/2104.11962, 2021
Mayya, Siddharth; Ramachandran, Ragesh K.; Zhou, Lifeng; Sukhatme, Gaurav S.; Kumar, Vijay: Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. CoRR, vol. abs/2105.03813, 2021
Zentner, K. R.; Julian, Ryan; Puri, Ujjwal; Zhang, Yulun; Sukhatme, Gaurav S.: Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. CoRR, vol. abs/2106.13237, 2021
Suglia, Alessandro; Gao, Qiaozi; Thomason, Jesse; Thattai, Govind; Sukhatme, Gaurav S.: Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion. CoRR, vol. abs/2108.04927, 2021
Batra, Sumeet; Huang, Zhehui; Petrenko, Aleksei; Kumar, Tushar; Molchanov, Artem; Sukhatme, Gaurav S.: Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRR, vol. abs/2109.07735, 2021
Heiden, Eric; Denniston, Christopher E.; Millard, David; Ramos, Fabio; Sukhatme, Gaurav S.: Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. CoRR, vol. abs/2109.08815, 2021
Prorok, Amanda; Malencia, Matthew; Carlone, Luca; Sukhatme, Gaurav S.; Sadler, Brian M.; Kumar, Vijay: Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR, vol. abs/2109.12343, 2021
Zentner, K. R.; Julian, Ryan; Puri, Ujjwal; Zhang, Yulun; Sukhatme, Gaurav S.: A Simple Approach to Continual Learning by Transferring Skill Parameters. CoRR, vol. abs/2110.10255, 2021
Roy, Nicholas; Posner, Ingmar; Barfoot, Tim D.; Beaudoin, Philippe; Bengio, Yoshua; Bohg, Jeannette; Brock, Oliver; Depatie, Isabelle; Fox, Dieter; Koditschek, Daniel E.; Lozano-PØrez, TomÆs; Mansinghka, Vikash; Pal, Christopher J.; Richards, Blake A.; Sadigh, Dorsa; Schaal, Stefan; Sukhatme, Gaurav S.; ThØrien, Denis; Toussaint, Marc; Panne, Michiel: From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR, vol. abs/2110.15245, 2021
Zhao, Yizhou; Lin, Kaixiang; Jia, Zhiwei; Gao, Qiaozi; Thattai, Govind; Thomason, Jesse; Sukhatme, Gaurav S.: LUMINOUS: Indoor Scene Generation for Embodied AI Challenges. CoRR, vol. abs/2111.05527, 2021
Batra, Sumeet; Huang, Zhehui; Petrenko, Aleksei; Kumar, Tushar; Molchanov, Artem; Sukhatme, Gaurav S.: Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. Faust, Aleksandra; Hsu, David; Neumann, Gerhard (Ed.): Conference on Robot Learning, 8-11 November 2021, London, UK, pp. 576-586, PMLR, 2021
Christensen, Henrik I.; Amato, Nancy M.; Yanco, Holly A.; Mataric, Maja J.; Choset, Howie; Drobnis, Ann W.; Goldberg, Ken; Grizzle, Jessy W.; Hager, Gregory D.; Hollerbach, John M.; Hutchinson, Seth; Krovi, Venkat; Lee, Daniel; Smart, William D.; Trinkle, Jeff; Sukhatme, Gaurav S.: A Roadmap for US Robotics – From Internet to Robotics 2020 Edition. Found. Trends Robotics, vol. 8, no. 4, pp. 307-424, 2021
Salhotra, Gautam; Denniston, Christopher E.; Caron, David A.; Sukhatme, Gaurav S.: Adaptive Sampling using POMDPs with Domain-Specific Considerations. IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, pp. 2385-2391, IEEE, 2021
Heiden, Eric; Palmieri, Luigi; Bruns, Leonard; Arras, Kai Oliver; Sukhatme, Gaurav S.; Koenig, Sven: Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots. IEEE Robotics Autom. Lett., vol. 6, no. 3, pp. 4536-4543, 2021
Ramachandran, Ragesh Kumar; Fronda, Nicole; Sukhatme, Gaurav S.: Resilience in Multirobot Multitarget Tracking With Unknown Number of Targets Through Reconfiguration. IEEE Trans. Control. Netw. Syst., vol. 8, no. 2, pp. 609-620, 2021
Preiss, James A.; Sukhatme, Gaurav S.: Suboptimal coverings for continuous spaces of control tasks. Jadbabaie, Ali; Lygeros, John; Pappas, George J.; Parrilo, Pablo A.; Recht, Benjamin; Tomlin, Claire J.; Zeilinger, Melanie N. (Ed.): Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland, pp. 547-558, PMLR, 2021
Heiden, Eric; Liu, Ziang; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.: Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, pp. 2595-2601, IEEE, 2020
Ramachandran, Ragesh K.; Fronda, Nicole; Sukhatme, Gaurav S.: Resilience in multi-robot target tracking through reconfiguration. 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, pp. 4551-4557, IEEE, 2020
Bechtle, Sarah; Molchanov, Artem; Chebotar, Yevgen; Grefenstette, Edward; Righetti, Ludovic; Sukhatme, Gaurav S.; Meier, Franziska: Meta Learning via Learned Loss. 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, pp. 4161-4168, IEEE, 2020
Ghosh, Pradipta; Bunton, Jonathan; Pylorof, Dimitrios; Vieira, Marcos Augusto M.; Chan, Kevin; Govindan, Ramesh; Sukhatme, Gaurav S.; Tabuada, Paulo; Verma, Gunjan: Rapid Top-Down Synthesis of Large-Scale IoT Networks. 29th International Conference on Computer Communications and Networks, ICCCN 2020, Honolulu, HI, USA, August 3-6, 2020, pp. 1-9, IEEE, 2020
Sutanto, Giovanni; Wang, Austin S.; Lin, Yixin; Mukadam, Mustafa; Sukhatme, Gaurav S.; Rai, Akshara; Meier, Franziska: Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. Bayen, Alexandre M.; Jadbabaie, Ali; Pappas, George J.; Parrilo, Pablo A.; Recht, Benjamin; Tomlin, Claire J.; Zeilinger, Melanie N. (Ed.): Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020, pp. 804-813, PMLR, 2020
Sutanto, Giovanni; Wang, Austin S.; Lin, Yixin; Mukadam, Mustafa; Sukhatme, Gaurav S.; Rai, Akshara; Meier, Franziska: Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. CoRR, vol. abs/2001.08861, 2020
Ghosh, Pradipta; Bunton, Jonathan; Pylorof, Dimitrios; Vieira, Marcos Augusto M.; Chan, Kevin S.; Govindan, Ramesh; Sukhatme, Gaurav S.; Tabuada, Paulo; Verma, Gunjan: Rapid Top-Down Synthesis of Large-Scale IoT Networks. CoRR, vol. abs/2002.04244, 2020
Heiden, Eric; Palmieri, Luigi; Arras, Kai Oliver; Sukhatme, Gaurav S.; Koenig, Sven: Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. CoRR, vol. abs/2003.03543, 2020
Ghosh, Pradipta; Liu, Xiaochen; Qiu, Hang; Vieira, Marcos Augusto M.; Sukhatme, Gaurav S.; Govindan, Ramesh: On Localizing a Camera from a Single Image. CoRR, vol. abs/2003.10664, 2020
Ramachandran, Ragesh K.; Fronda, Nicole; Sukhatme, Gaurav S.: Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration. CoRR, vol. abs/2004.07197, 2020
Julian, Ryan; Swanson, Benjamin; Sukhatme, Gaurav S.; Levine, Sergey; Finn, Chelsea; Hausman, Karol: Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation. CoRR, vol. abs/2004.10190, 2020
Pflueger, Max; Sukhatme, Gaurav S.: Plan-Space State Embeddings for Improved Reinforcement Learning. CoRR, vol. abs/2004.14567, 2020
Agha-mohammadi, Ali-akbar; Heiden, Eric; Hausman, Karol; Sukhatme, Gaurav S.: Confidence-rich grid mapping. CoRR, vol. abs/2006.15754, 2020
Sutanto, Giovanni; Rombach, Katharina; Chebotar, Yevgen; Su, Zhe; Schaal, Stefan; Sukhatme, Gaurav S.; Meier, Franziska: Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed. CoRR, vol. abs/2007.00450, 2020
Ramachandran, Ragesh K.; Pierpaoli, Pietro; Egerstedt, Magnus; Sukhatme, Gaurav S.: Resilient Monitoring in Heterogeneous Multi-robot Systems through Network Reconfiguration. CoRR, vol. abs/2008.01321, 2020
Santos, Renato Fernando; Ramachandran, Ragesh K.; Vieira, Marcos Augusto M.; Sukhatme, Gaurav S.: Pac-Man is Overkill. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, pp. 11652-11657, IEEE, 2020
Ramachandran, Ragesh K.; Zhou, Lifeng; Preiss, James A.; Sukhatme, Gaurav S.: Resilient Coverage: Exploring the Local-to-Global Trade-off. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, pp. 11740-11747, IEEE, 2020
Ghosh, Pradipta; Tabuada, Paulo; Govindan, Ramesh; Sukhatme, Gaurav S.: Persistent Connected Power Constrained Surveillance with Unmanned Aerial Vehicles. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, pp. 1501-1508, IEEE, 2020
Santos, Elerson Rubens Silva; Vieira, Marcos Augusto M.; Sukhatme, Gaurav S.: Mobile Robot Localization under Non-Gaussian noise using Correntropy Similarity Metric. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, pp. 8534-8539, IEEE, 2020
Julian, Ryan; Heiden, Eric; He, Zhanpeng; Zhang, Hejia; Schaal, Stefan; Lim, Joseph J.; Sukhatme, Gaurav S.; Hausman, Karol: Scaling simulation-to-real transfer by learning a latent space of robot skills. Int. J. Robotics Res., vol. 39, no. 10-11, 2020
Julian, Ryan; Swanson, Benjamin; Sukhatme, Gaurav S.; Levine, Sergey; Finn, Chelsea; Hausman, Karol: Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning. Kober, Jens; Ramos, Fabio; Tomlin, Claire J. (Ed.): 4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA, pp. 2120-2136, PMLR, 2020
Petrenko, Aleksei; Huang, Zhehui; Kumar, Tushar; Sukhatme, Gaurav S.; Koltun, Vladlen: Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, pp. 7652-7662, PMLR, 2020
Denniston, Christopher E.; Kumaraguru, Aravind; Caron, David A.; Sukhatme, Gaurav S.: Incorporating Noise into Adaptive Sampling. Siciliano, Bruno; Laschi, Cecilia; Khatib, Oussama (Ed.): Experimental Robotics - The 17th International Symposium, ISER 2020, La Valletta, Malta, November 9-12, 2020 (postponed to 2021), pp. 198-208, Springer, 2020
Koumis, Alexander S.; Preiss, James A.; Sukhatme, Gaurav S.: Estimating Metric Scale Visual Odometry from Videos using 3D Convolutional Networks. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, pp. 265-272, IEEE, 2019
Molchanov, Artem; Chen, Tao; Hünig, Wolfgang; Preiss, James A.; Ayanian, Nora; Sukhatme, Gaurav S.: Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, pp. 59-66, IEEE, 2019
Ramachandran, Ragesh K.; Preiss, James A.; Sukhatme, Gaurav S.: Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, pp. 6518-6525, IEEE, 2019
Debnath, Shoubhik; Liu, Lantao; Sukhatme, Gaurav S.: Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR, vol. abs/1901.00921, 2019
Debnath, Shoubhik; Liu, Lantao; Sukhatme, Gaurav S.: Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR, vol. abs/1901.01229, 2019
Debnath, Shoubhik; Sukhatme, Gaurav S.; Liu, Lantao: Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR, vol. abs/1901.01977, 2019
Chebotar, Yevgen; Molchanov, Artem; Bechtle, Sarah; Righetti, Ludovic; Meier, Franziska; Sukhatme, Gaurav S.: Meta-Learning via Learned Loss. CoRR, vol. abs/1906.05374, 2019
Ramachandran, Ragesh K.; Fronda, Nicole; Sukhatme, Gaurav S.: Resilience in multi-robot target tracking through reconfiguration. CoRR, vol. abs/1910.01300, 2019
Ramachandran, Ragesh K.; Zhou, Lifeng; Sukhatme, Gaurav S.: Resilient Coverage: Exploring the Local-to-Global Trade-off. CoRR, vol. abs/1910.01917, 2019
Heiden, Eric; Liu, Ziang; Ramachandran, Ragesh K.; Sukhatme, Gaurav S.: Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. CoRR, vol. abs/1912.01652, 2019
Pflueger, Max; Agha-Mohammadi, Ali-Akbar; Sukhatme, Gaurav S.: Rover-IRL: Inverse Reinforcement Learning With Soft Value Iteration Networks for Planetary Rover Path Planning. IEEE Robotics Autom. Lett., vol. 4, no. 2, pp. 1387-1394, 2019
Agha-mohammadi, Ali-akbar; Heiden, Eric; Hausman, Karol; Sukhatme, Gaurav S.: Confidence-rich grid mapping. Int. J. Robotics Res., vol. 38, no. 12-13, 2019
Khosoussi, Kasra; Giamou, Matthew; Sukhatme, Gaurav S.; Huang, Shoudong; Dissanayake, Gamini; How, Jonathan P.: Reliable Graphs for SLAM. Int. J. Robotics Res., vol. 38, no. 2-3, 2019
Fung, Nicholas; III, John G. Rogers; Nieto, Carlos; Christensen, Henrik I.; Kemna, Stephanie; Sukhatme, Gaurav S.: Coordinating multi-robot systems through environment partitioning for adaptive informative sampling. International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, pp. 3231-3237, IEEE, 2019
Huang, Chen; Liu, Lantao; Sukhatme, Gaurav S.: Learning to Act in Partially Structured Dynamic Environment. 2018 AAAI Spring Symposia, Stanford University, Palo Alto, California, USA, March 26-28, 2018, AAAI Press, 2018
Devos, Arnout; Dhondt, Jakob; Stripling, Eugen; Baesens, Bart; Broucke, Seppe; Sukhatme, Gaurav S.: Profit Maximizing Logistic Regression Modeling for Credit Scoring. 2018 IEEE Data Science Workshop, DSW 2018, Lausanne, Switzerland, June 4-6, 2018, pp. 125-129, IEEE, 2018
Heiden, Eric; Palmieri, Luigi; Koenig, Sven; Arras, Kai Oliver; Sukhatme, Gaurav S.: Gradient-Informed Path Smoothing for Wheeled Mobile Robots. 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, pp. 1710-1717, IEEE, 2018
Su, Zhe; Kroemer, Oliver; Loeb, Gerald E.; Sukhatme, Gaurav S.; Schaal, Stefan: Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals. 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, pp. 2758-2765, IEEE, 2018
Kemna, Stephanie; Kroemer, Oliver; Sukhatme, Gaurav S.: Pilot Surveys for Adaptive Informative Sampling. 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, pp. 6417-6424, IEEE, 2018
Debnath, Shoubhik; Sukhatme, Gaurav S.; Liu, Lantao: Accelerating Goal-Directed Reinforcement Learning by Model Characterization. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, pp. 1-9, IEEE, 2018
Debnath, Shoubhik; Liu, Lantao; Sukhatme, Gaurav S.: Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, pp. 7063-7070, IEEE, 2018
Abdelzaher, Tarek F.; Ayanian, Nora; Basar, Tamer; Diggavi, Suhas N.; Diesner, Jana; Ganesan, Deepak; Govindan, Ramesh; Jha, Susmit; Lepoint, TancrŁde; Marlin, Benjamin M.; Nahrstedt, Klara; Nicol, David M.; Rajkumar, Raj; Russell, Stephen; Seshia, Sanjit A.; Sha, Fei; Shenoy, Prashant J.; Srivastava, Mani B.; Sukhatme, Gaurav S.; Swami, Ananthram; Tabuada, Paulo; Towsley, Don; Vaidya, Nitin H.; Veeravalli, Venugopal V.: Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. 38th IEEE International Conference on Distributed Computing Systems, ICDCS 2018, Vienna, Austria, July 2-6, 2018, pp. 1129-1138, IEEE Computer Society, 2018
Abdelzaher, Tarek F.; Ayanian, Nora; Basar, Tamer; Diggavi, Suhas N.; Diesner, Jana; Ganesan, Deepak; Govindan, Ramesh; Jha, Susmit; Lepoint, TancrŁde; Marlin, Benjamin M.; Nahrstedt, Klara; Nicol, David M.; Rajkumar, Raj; Russell, Stephen; Seshia, Sanjit A.; Sha, Fei; Shenoy, Prashant J.; Srivastava, Mani B.; Sukhatme, Gaurav S.; Swami, Ananthram; Tabuada, Paulo; Towsley, Don; Vaidya, Nitin H.; Veeravalli, Venugopal V.: Toward an Internet of Battlefield Things: A Resilience Perspective. Computer, vol. 51, no. 11, pp. 24-36, 2018
Denniston, Chris; Krogstad, Thomas R.; Kemna, Stephanie; Sukhatme, Gaurav S.: Planning Safe Paths through Hazardous Environments. CoRR, vol. abs/1803.00664, 2018
Molchanov, Artem; Hausman, Karol; Birchfield, Stan; Sukhatme, Gaurav S.: Region Growing Curriculum Generation for Reinforcement Learning. CoRR, vol. abs/1807.01425, 2018
Zhang, Hejia; Heiden, Eric; Julian, Ryan; He, Zhangpeng; Lim, Joseph J.; Sukhatme, Gaurav S.: Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. CoRR, vol. abs/1810.00146, 2018
He, Zhanpeng; Julian, Ryan; Heiden, Eric; Zhang, Hejia; Schaal, Stefan; Lim, Joseph J.; Sukhatme, Gaurav S.; Hausman, Karol: Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR, vol. abs/1810.02422, 2018
Liu, Lantao; Sukhatme, Gaurav S.: A Solution to Time-Varying Markov Decision Processes. IEEE Robotics Autom. Lett., vol. 3, no. 3, pp. 1631-1638, 2018
Hünig, Wolfgang; Preiss, James A.; Kumar, T. K. Satish; Sukhatme, Gaurav S.; Ayanian, Nora: Trajectory Planning for Quadrotor Swarms. IEEE Trans. Robotics, vol. 34, no. 4, pp. 856-869, 2018
Robotic Embedded Systems Laboratory
University of Southern California
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