Siddhartha S. Srinivasa

ORCID

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 225

Top Venues

Publications

Sidharth Talia, Matt Schmittle, Alexander Lambert, Alexander Spitzer, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa
HOUND: An Open-Source, Low-cost Research Platform for High-speed Off-road Underactuated Nonholonomic Driving. CoRR (2023)
Yi Ru Wang, Jiafei Duan, Dieter Fox, Siddhartha S. Srinivasa
NEWTON: Are Large Language Models Capable of Physical Reasoning? EMNLP (Findings) (2023)
Sriyash Poddar, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa
From Crowd Motion Prediction to Robot Navigation in Crowds. IROS (2023)
Sidharth Talia, Arnav Thareja, Christoforos I. Mavrogiannis, Matt Schmittle, Siddhartha S. Srinivasa
PuSHR: A Multirobot System for Nonprehensile Rearrangement. CoRR (2023)
Yunchu Zhang, Liyiming Ke, Abhay Deshpande, Abhishek Gupta, Siddhartha S. Srinivasa
Cherry-Picking with Reinforcement Learning. Robotics: Science and Systems (2023)
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)
Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
Real World Offline Reinforcement Learning with Realistic Data Source. ICRA (2023)
Ethan Kroll Gordon, Amal Nanavati, Ramya Challa, Bernie Hao Zhu, Taylor Annette Kessler Faulkner, Siddhartha S. Srinivasa
Towards General Single-Utensil Food Acquisition with Human-Informed Actions. CoRL (2023)
Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. ICRA (2023)
Sidharth Talia, Arnav Thareja, Christoforos I. Mavrogiannis, Matt Schmittle, Siddhartha S. Srinivasa
PuSHR: A Multirobot System for Nonprehensile Rearrangement. IROS (2023)
Sriyash Poddar, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa
From Crowd Motion Prediction to Robot Navigation in Crowds. CoRR (2023)
Liyiming Ke, Yunchu Zhang, Abhay Deshpande, Siddhartha S. Srinivasa, Abhishek Gupta
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning. CoRR (2023)
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) (2023)
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)
Yunchu Zhang, Liyiming Ke, Abhay Deshpande, Abhishek Gupta, Siddhartha S. Srinivasa
Cherry-Picking with Reinforcement Learning. CoRR (2023)
Yi Ru Wang, Jiafei Duan, Dieter Fox, Siddhartha S. Srinivasa
NEWTON: Are Large Language Models Capable of Physical Reasoning? CoRR (2023)
Brad Saund, Sanjiban Choudhury, Siddhartha S. Srinivasa, Dmitry Berenson
The blindfolded traveler's problem: A search framework for motion planning with contact estimates. Int. J. Robotics Res. 42 (4-5) (2023)
Samuel K. Ainsworth, Jonathan Hayase, Siddhartha S. Srinivasa
Git Re-Basin: Merging Models modulo Permutation Symmetries. ICLR (2023)
Patrick Lancaster, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Joshua R. Smith
Electrostatic Brakes Enable Individual Joint Control of Underactuated, Highly Articulated Robots. CoRR (2022)
Patrick Lancaster, Pratik Gyawali, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Joshua R. Smith
Optical Proximity Sensing for Pose Estimation During In-Hand Manipulation. CoRR (2022)
Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa
Expert Intervention Learning. Auton. Robots 46 (1) (2022)
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) (2022)
Jaein Lim, Mahdi Ghanei, Richard Connor Lawson, Siddhartha S. Srinivasa, Panagiotis Tsiotras
Lazy Incremental Search for Efficient Replanning with Bounded Suboptimality Guarantees. CoRR (2022)
Samuel K. Ainsworth, Jonathan Hayase, Siddhartha S. Srinivasa
Git Re-Basin: Merging Models modulo Permutation Symmetries. CoRR (2022)
Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
Real World Offline Reinforcement Learning with Realistic Data Source. CoRR (2022)
Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots
Stein Variational Probabilistic Roadmaps. ICRA (2022)
Brian Hou, Siddhartha S. Srinivasa
Dynamic Replanning with Posterior Sampling. IROS (2022)
Boling Yang, Patrick E. Lancaster, Siddhartha S. Srinivasa, Joshua R. Smith
Benchmarking Robot Manipulation with the Rubik's Cube. CoRR (2022)
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) (2022)
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)
Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. CoRR (2022)
Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
Implicit Multiagent Coordination at Uncontrolled Intersections via Topological Braids. WAFR (2022)
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)
Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. IROS (2022)
Chad Kessens, Matthew Kaplan, Trevor Rocks, Philip R. Osteen, John G. Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael Diblasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry H. Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
Human-Scale Mobile Manipulation Using RoMan. Field Robotics 2 (1) (2022)
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)
Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. ICRA (2022)
Nick Walker, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Maya Cakmak
Influencing Behavioral Attributions to Robot Motion During Task Execution. CoRL (2021)
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 (2021)
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) (2021)
Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh
Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. CoRR (2021)
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)
Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. CoRR (2021)
Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. CoRR (2021)
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 (2021)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
Leveraging Experience in Lazy Search. CoRR (2021)
Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots
Stein Variational Probabilistic Roadmaps. CoRR (2021)
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 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)
Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. IROS (2021)
Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics. CoRR (2021)
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)
Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa
Imitation Learning as f-Divergence Minimization. WAFR (2021)
Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
Faster Policy Learning with Continuous-Time Gradients. L4DC (2021)
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)
Ryan Rowe, Shivam Singhal, Daqing Yi, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa
Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning. CoRR (2021)
Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR (2021)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
Leveraging experience in lazy search. Auton. Robots 45 (7) (2021)
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 (2021)
Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov
Lyceum: An efficient and scalable ecosystem for robot learning. CoRR (2020)
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)
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)
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)
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 (2020)
Junha Roh, Christoforos I. Mavrogiannis, Rishabh Madan, Dieter Fox, Siddhartha S. Srinivasa
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections. CoRR (2020)
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 (2020)
Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
Faster Policy Learning with Continuous-Time Gradients. CoRR (2020)
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)
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)
Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference. CoRR (2020)
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)
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 (2020)
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)
Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. CoRR (2020)
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)
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) (2020)
Liyiming Ke, Ajinkya Kamat, Jingqiang Wang, Tapomayukh Bhattacharjee, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa
Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations. CoRR (2020)
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 (2020)
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)
Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov
Lyceum: An efficient and scalable ecosystem for robot learning. L4DC (2020)
Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) (2019)
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa
Leveraging Experience in Lazy Search. Robotics: Science and Systems (2019)
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)
Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa
Improving Robot Success Detection using Static Object Data. IROS (2019)
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)
Patrick E. Lancaster, Joshua R. Smith, Siddhartha S. Srinivasa
Improved Proximity, Contact, and Force Sensing via Optimization of Elastomer-Air Interface Geometry. ICRA (2019)
Thomas Weng, Leah Perlmutter, Stefanos Nikolaidis, Siddhartha S. Srinivasa, Maya Cakmak
Robot Object Referencing through Legible Situated Projections. ICRA (2019)
Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. IROS (2019)
Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan
The Assistive Multi-Armed Bandit. CoRR (2019)
Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa
Improving Robot Success Detection using Static Object Data. CoRR (2019)
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 (2019)
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)
Samuel K. Ainsworth, Matt Barnes, Siddhartha S. Srinivasa
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation. NeurIPS (2019)
Gilwoo Lee, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa
Towards Effective Human-AI Teams: The Case of Collaborative Packing. CoRR (2019)
Daniel Gallenberger, Tapomayukh Bhattacharjee, Youngsun Kim, Siddhartha S. Srinivasa
Transfer Depends on Acquisition: Analyzing Manipulation Strategies for Robotic Feeding. HRI (2019)
Tapomayukh Bhattacharjee, Maria E. Cabrera, Anat Caspi, Maya Cakmak, Siddhartha S. Srinivasa
A Community-Centered Design Framework for Robot-Assisted Feeding Systems. ASSETS (2019)
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 (2019)
Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan
The Assistive Multi-Armed Bandit. HRI (2019)
Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
Imitation Learning as f-Divergence Minimization. CoRR (2019)
Sumit Kumar, Sushman Choudhary, Siddhartha S. Srinivasa
Estimating Configuration Space Belief from Collision Checks for Motion Planning. CoRR (2019)
Vincent Roulet, Dmitriy Drusvyatskiy, Siddhartha S. Srinivasa, Zaïd Harchaoui
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees. ICML (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Siddhartha S. Srinivasa