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ORCIDSiddhartha S. Srinivasa
Person information
- affiliation: University of Washington, Paul G. Allen School of Computer Science & Engineering, Seattle, WA, USA
- affiliation: Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
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2020 – today
- 2023
[j41]Christoforos I. Mavrogiannis
, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa:
Winding Through: Crowd Navigation via Topological Invariance. IEEE Robotics Autom. Lett. 8(1): 121-128 (2023)- [c186]Amal Nanavati, Patrícia Alves-Oliveira, Tyler Schrenk, Ethan K. Gordon, Maya Cakmak, Siddhartha S. Srinivasa:
Design Principles for Robot-Assisted Feeding in Social Contexts. HRI 2023: 24-33 - [c185]Amal Nanavati, Patrícia Alves-Oliveira, Tyler Schrenk, Ethan K. Gordon, Maya Cakmak, Siddhartha S. Srinivasa:
Unintended Failures of Robot-Assisted Feeding in Social Contexts. HRI (Companion) 2023: 884-886 - [i88]Sriyash Poddar, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
From Crowd Motion Prediction to Robot Navigation in Crowds. CoRR abs/2303.01424 (2023) - [i87]Sidharth Talia, Arnav Thareja, Christoforos I. Mavrogiannis, Matt Schmittle, Siddhartha S. Srinivasa:
PuSHR: A Multirobot System for Nonprehensile Rearrangement. CoRR abs/2303.01428 (2023) - [i86]Yunchu Zhang, Liyiming Ke, Abhay Deshpande, Abhishek Gupta, Siddhartha S. Srinivasa:
Cherry-Picking with Reinforcement Learning. CoRR abs/2303.05508 (2023) - 2022
- [j40]Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa:
Expert Intervention Learning. Auton. Robots 46(1): 99-113 (2022) - [j39]Benjamin A. Newman, Reuben M. Aronson, Siddhartha S. Srinivasa, Kris Kitani, Henny Admoni:
HARMONIC: A multimodal dataset of assistive human-robot collaboration. Int. J. Robotics Res. 41(1): 3-11 (2022) - [j38]Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters:
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. IEEE Robotics Autom. Lett. 7(1): 478-485 (2022) - [c184]Amal Nanavati, Nick Walker, Lee Taber, Christoforos I. Mavrogiannis, Leila Takayama, Maya Cakmak, Siddhartha S. Srinivasa:
Not All Who Wander Are Lost: A Localization-Free System for In-the-Wild Mobile Robot Deployments. HRI 2022: 422-431 - [c183]Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh:
Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. ICRA 2022: 4757-4763 - [c182]Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. ICRA 2022: 5806-5813 - [c181]Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots:
Stein Variational Probabilistic Roadmaps. ICRA 2022: 11094-11101 - [c180]Brian Hou, Siddhartha S. Srinivasa:
Dynamic Replanning with Posterior Sampling. IROS 2022: 2938-2945 - [c179]Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras:
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. IROS 2022: 8778-8783 - [c178]Patrick Lancaster, Pratik Gyawali, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Joshua R. Smith:
Optical Proximity Sensing for Pose Estimation During In-Hand Manipulation. IROS 2022: 11818-11825 - [c177]Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Implicit Multiagent Coordination at Uncontrolled Intersections via Topological Braids. WAFR 2022: 368-384 - [i85]Boling Yang, Patrick E. Lancaster, Siddhartha S. Srinivasa, Joshua R. Smith:
Benchmarking Robot Manipulation with the Rubik's Cube. CoRR abs/2202.07074 (2022) - [i84]Patrick Lancaster, Pratik Gyawali, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Joshua R. Smith:
Optical Proximity Sensing for Pose Estimation During In-Hand Manipulation. CoRR abs/2204.02371 (2022) - [i83]Patrick Lancaster, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Joshua R. Smith:
Electrostatic Brakes Enable Individual Joint Control of Underactuated, Highly Articulated Robots. CoRR abs/2204.02460 (2022) - [i82]Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui:
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. CoRR abs/2207.06362 (2022) - [i81]Samuel K. Ainsworth, Jonathan Hayase, Siddhartha S. Srinivasa:
Git Re-Basin: Merging Models modulo Permutation Symmetries. CoRR abs/2209.04836 (2022) - [i80]Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar:
Real World Offline Reinforcement Learning with Realistic Data Source. CoRR abs/2210.06479 (2022) - [i79]Jaein Lim, Mahdi Ghanei, Richard Connor Lawson, Siddhartha S. Srinivasa, Panagiotis Tsiotras:
Lazy Incremental Search for Efficient Replanning with Bounded Suboptimality Guarantees. CoRR abs/2210.12851 (2022) - 2021
- [j37]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging experience in lazy search. Auton. Robots 45(7): 979-996 (2021) - [j36]Berk Çalli, Aaron M. Dollar, Máximo A. Roa, Siddhartha S. Srinivasa, Yu Sun:
Guest Editorial: Introduction to the Special Issue on Benchmarking Protocols for Robotic Manipulation. IEEE Robotics Autom. Lett. 6(4): 8678-8680 (2021) - [c176]Nick Walker, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Maya Cakmak:
Influencing Behavioral Attributions to Robot Motion During Task Execution. CoRL 2021: 169-179 - [c175]Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. ICRA 2021: 6185-6191 - [c174]Ethan K. Gordon, Sumegh Roychowdhury, Tapomayukh Bhattacharjee, Kevin Jamieson, Siddhartha S. Srinivasa:
Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding. ICRA 2021: 10528-10535 - [c173]Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. IROS 2021: 5611-5618 - [c172]Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa:
Faster Policy Learning with Continuous-Time Gradients. L4DC 2021: 1054-1067 - [c171]Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf:
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) 2021: 190-204 - [c170]Amal Nanavati, Christoforos I. Mavrogiannis, Kevin Weatherwax, Leila Takayama, Maya Cakmak, Siddhartha S. Srinivasa:
Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning. Robotics: Science and Systems 2021 - [c169]Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa:
Imitation Learning as f-Divergence Minimization. WAFR 2021: 313-329 - [i78]Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics. CoRR abs/2104.01021 (2021) - [i77]Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR abs/2104.05037 (2021) - [i76]Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters:
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. CoRR abs/2105.02087 (2021) - [i75]Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras:
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. CoRR abs/2105.12076 (2021) - [i74]Ryan Rowe, Shivam Singhal, Daqing Yi, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning. CoRR abs/2108.01254 (2021) - [i73]Christoforos I. Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa:
Topology-Informed Model Predictive Control for Anticipatory Collision Avoidance on a Ballbot. CoRR abs/2109.05084 (2021) - [i72]Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. CoRR abs/2109.07060 (2021) - [i71]Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf:
A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR abs/2109.10957 (2021) - [i70]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/2110.04669 (2021) - [i69]Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots:
Stein Variational Probabilistic Roadmaps. CoRR abs/2111.02972 (2021) - [i68]Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh:
Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. CoRR abs/2111.11401 (2021) - 2020
- [j35]Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search. Int. J. Robotics Res. 39(5) (2020) - [j34]Boling Yang, Patrick E. Lancaster, Siddhartha S. Srinivasa, Joshua R. Smith:
Benchmarking Robot Manipulation With the Rubik's Cube. IEEE Robotics Autom. Lett. 5(2): 2094-2099 (2020) - [c168]Vincent Roulet, Maryam Fazel, Siddhartha S. Srinivasa, Zaïd Harchaoui:
On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points. ACC 2020: 132-137 - [c167]William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Yubo Wang, Pedro Domingos, Siddhartha S. Srinivasa:
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity. CoRL 2020: 1498-1508 - [c166]Junha Roh, Christoforos I. Mavrogiannis, Rishabh Madan, Dieter Fox, Siddhartha S. Srinivasa:
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections. CoRL 2020: 2216-2227 - [c165]Tapomayukh Bhattacharjee, Ethan K. Gordon, Rosario Scalise, Maria E. Cabrera, Anat Caspi, Maya Cakmak, Siddhartha S. Srinivasa:
Is More Autonomy Always Better?: Exploring Preferences of Users with Mobility Impairments in Robot-assisted Feeding. HRI 2020: 181-190 - [c164]Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa:
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. ICRA 2020: 4266-4272 - [c163]Ethan K. Gordon, Xiang Meng, Tapomayukh Bhattacharjee, Matt Barnes, Siddhartha S. Srinivasa:
Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items. IROS 2020: 9659-9666 - [c162]Liyiming Ke, Ajinkya Kamat, Jingqiang Wang, Tapomayukh Bhattacharjee, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations. IROS 2020: 11539-11546 - [c161]Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov:
Lyceum: An efficient and scalable ecosystem for robot learning. L4DC 2020: 793-803 - [c160]Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa:
Learning from Interventions: Human-robot interaction as both explicit and implicit feedback. Robotics: Science and Systems 2020 - [i67]Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov:
Lyceum: An efficient and scalable ecosystem for robot learning. CoRR abs/2001.07343 (2020) - [i66]Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. CoRR abs/2002.03042 (2020) - [i65]Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa:
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. CoRR abs/2002.11853 (2020) - [i64]Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference. CoRR abs/2004.05205 (2020) - [i63]Liyiming Ke, Ajinkya Kamat, Jingqiang Wang, Tapomayukh Bhattacharjee, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations. CoRR abs/2008.00101 (2020) - [i62]William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Caelen Wang, Pedro Domingos, Siddhartha S. Srinivasa:
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity. CoRR abs/2009.13146 (2020) - [i61]Ethan K. Gordon, Sumegh Roychowdhury, Tapomayukh Bhattacharjee, Kevin Jamieson, Siddhartha S. Srinivasa:
Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding. CoRR abs/2011.02604 (2020) - [i60]Junha Roh, Christoforos I. Mavrogiannis, Rishabh Madan, Dieter Fox, Siddhartha S. Srinivasa:
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections. CoRR abs/2011.03894 (2020) - [i59]Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. CoRR abs/2011.06719 (2020) - [i58]Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa:
Faster Policy Learning with Continuous-Time Gradients. CoRR abs/2012.06684 (2020)
2010 – 2019
- 2019
- [j33]Tapomayukh Bhattacharjee, Gilwoo Lee, Hanjun Song, Siddhartha S. Srinivasa:
Towards Robotic Feeding: Role of Haptics in Fork-Based Food Manipulation. IEEE Robotics Autom. Lett. 4(2): 1485-1492 (2019) - [j32]Rachel M. Holladay, Oren Salzman, Siddhartha S. Srinivasa:
Minimizing Task-Space Fréchet Error via Efficient Incremental Graph Search. IEEE Robotics Autom. Lett. 4(2): 1999-2006 (2019) - [c159]Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa:
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-Based Toggles. ICAPS 2019: 745-753 - [c158]Tapomayukh Bhattacharjee, Maria E. Cabrera, Anat Caspi, Maya Cakmak, Siddhartha S. Srinivasa:
A Community-Centered Design Framework for Robot-Assisted Feeding Systems. ASSETS 2019: 482-494 - [c157]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [c156]Daniel Gallenberger, Tapomayukh Bhattacharjee, Youngsun Kim, Siddhartha S. Srinivasa:
Transfer Depends on Acquisition: Analyzing Manipulation Strategies for Robotic Feeding. HRI 2019: 267-276 - [c155]Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan:
The Assistive Multi-Armed Bandit. HRI 2019: 354-363 - [c154]Gilwoo Lee, Zhiwei Deng, Shugao Ma, Takaaki Shiratori, Siddhartha S. Srinivasa, Yaser Sheikh:
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis. ICCV 2019: 763-772 - [c153]Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) 2019 - [c152]Vincent Roulet, Dmitriy Drusvyatskiy, Siddhartha S. Srinivasa, Zaïd Harchaoui:
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees. ICML 2019: 5518-5527 - [c151]Patrick E. Lancaster, Joshua R. Smith, Siddhartha S. Srinivasa:
Improved Proximity, Contact, and Force Sensing via Optimization of Elastomer-Air Interface Geometry. ICRA 2019: 3797-3803 - [c150]Thomas Weng, Leah Perlmutter, Stefanos Nikolaidis, Siddhartha S. Srinivasa, Maya Cakmak:
Robot Object Referencing through Legible Situated Projections. ICRA 2019: 8004-8010 - [c149]Hanjun Song, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Sensing Shear Forces During Food Manipulation: Resolving the Trade-Off Between Range and Sensitivity. ICRA 2019: 8367-8373 - [c148]Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. IJCAI 2019: 6161-6165 - [c147]Sherdil Niyaz, Alan Kuntz, Oren Salzman, Ron Alterovitz, Siddhartha S. Srinivasa:
optimizing Motion-Planning Problem Setup via Bounded Evaluation with Application to Following Surgical Trajectories. IROS 2019: 1355-1362 - [c146]Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. IROS 2019: 1488-1495 - [c145]Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa:
Improving Robot Success Detection using Static Object Data. IROS 2019: 4229-4235 - [c144]Ryan Feng, Youngsun Kim, Gilwoo Lee, Ethan K. Gordon, Matt Schmittle, Shivaum Kumar, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Robot-Assisted Feeding: Generalizing Skewering Strategies Across Food Items on a Plate. ISRR 2019: 427-442 - [c143]Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson:
The Blindfolded Robot: A Bayesian Approach to Planning with Contact Feedback. ISRR 2019: 443-459 - [c142]Samuel K. Ainsworth, Matt Barnes, Siddhartha S. Srinivasa:
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation. NeurIPS 2019: 15156-15166 - [c141]Ryan Rowe, Shivam Singhal, Daqing Yi, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning. RO-MAN 2019: 1-8 - [c140]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. Robotics: Science and Systems 2019 - [i57]Sumit Kumar, Sushman Choudhary, Siddhartha S. Srinivasa:
Estimating Configuration Space Belief from Collision Checks for Motion Planning. CoRR abs/1901.07646 (2019) - [i56]Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan:
The Assistive Multi-Armed Bandit. CoRR abs/1901.08654 (2019) - [i55]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR abs/1903.02547 (2019) - [i54]Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa:
Improving Robot Success Detection using Static Object Data. CoRR abs/1904.01650 (2019) - [i53]Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa:
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles. CoRR abs/1904.02795 (2019) - [i52]Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Imitation Learning as f-Divergence Minimization. CoRR abs/1905.12888 (2019) - [i51]Ryan Feng, Youngsun Kim, Gilwoo Lee, Ethan K. Gordon, Matt Schmittle, Shivaum Kumar, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Realistic Plate. CoRR abs/1906.02350 (2019) - [i50]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/1907.07238 (2019) - [i49]Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. CoRR abs/1907.09574 (2019) - [i48]Ethan K. Gordon, Xiang Meng, Matt Barnes, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition. CoRR abs/1908.07088 (2019) - [i47]Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Joshua R. Smith, Sanjiban Choudhury, Christoforos I. Mavrogiannis, Fereshteh Sadeghi:
MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research. CoRR abs/1908.08031 (2019) - [i46]Gilwoo Lee, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa:
Towards Effective Human-AI Teams: The Case of Collaborative Packing. CoRR abs/1909.06527 (2019) - [i45]Samuel K. Ainsworth, Matt Barnes, Siddhartha S. Srinivasa:
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation. CoRR abs/1912.01649 (2019) - 2018
- [j31]Rosario Scalise, Shen Li, Henny Admoni, Stephanie Rosenthal, Siddhartha S. Srinivasa:
Natural language instructions for human-robot collaborative manipulation. Int. J. Robotics Res. 37(6): 558-565 (2018) - [j30]Shervin Javdani, Henny Admoni, Stefania Pellegrinelli, Siddhartha S. Srinivasa, J. Andrew Bagnell:
Shared autonomy via hindsight optimization for teleoperation and teaming. Int. J. Robotics Res. 37(7): 717-742 (2018) - [j29]Mahmoud Ghorbel, Joelle Pineau, Richard Gourdeau, Shervin Javdani, Siddhartha S. Srinivasa:
A Decision-Theoretic Approach for the Collaborative Control of a Smart Wheelchair. Int. J. Soc. Robotics 10(1): 131-145 (2018) - [d1]Jeongseok Lee, Michael X. Grey, Sehoon Ha, Tobias Kunz, Sumit Jain, Yuting Ye, Siddhartha S. Srinivasa, Mike Stilman, C. Karen Liu:
DART: Dynamic Animation and Robotics Toolkit. J. Open Source Softw. 3(22): 500 (2018) - [j28]Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Informed Sampling for Asymptotically Optimal Path Planning. IEEE Trans. Robotics 34(4): 966-984 (2018) - [c139]Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. ICAPS 2018: 106-113 - [c138]Aditya Mandalika, Oren Salzman, Siddhartha S. Srinivasa:
Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges. ICAPS 2018: 476-484 - [c137]Reuben M. Aronson, Thiago Santini, Thomas C. Kübler, Enkelejda Kasneci, Siddhartha S. Srinivasa, Henny Admoni:
Eye-Hand Behavior in Human-Robot Shared Manipulation. HRI 2018: 4-13 - [c136]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. HRI 2018: 307-315 - [c135]Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha S. Srinivasa, Geoffrey J. Gordon:
Recurrent Predictive State Policy Networks. ICML 2018: 1954-1963 - [c134]Daqing Yi, Rohan Thakker, Cole Gulino, Oren Salzman, Siddhartha S. Srinivasa:
Generalizing Informed Sampling for Asymptotically-Optimal Sampling-Based Kinodynamic Planning via Markov Chain Monte Carlo. ICRA 2018: 7063-7070 - [c133]Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Bayesian Active Edge Evaluation on Expensive Graphs. IJCAI 2018: 4890-4897 - [c132]