
Siddhartha S. Srinivasa
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- 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
- 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) - [c161]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 - [c160]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 - [c159]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 - [c158]Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov:
Lyceum: An efficient and scalable ecosystem for robot learning. L4DC 2020: 793-803 - [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) - [c157]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 - [c156]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 - [c155]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 - [c154]Daniel Gallenberger, Tapomayukh Bhattacharjee, Youngsun Kim, Siddhartha S. Srinivasa:
Transfer Depends on Acquisition: Analyzing Manipulation Strategies for Robotic Feeding. HRI 2019: 267-276 - [c153]Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan:
The Assistive Multi-Armed Bandit. HRI 2019: 354-363 - [c152]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 - [c151]Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) 2019 - [c150]Vincent Roulet, Dmitriy Drusvyatskiy, Siddhartha S. Srinivasa, Zaïd Harchaoui:
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees. ICML 2019: 5518-5527 - [c149]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 - [c148]Thomas Weng, Leah Perlmutter, Stefanos Nikolaidis, Siddhartha S. Srinivasa, Maya Cakmak:
Robot Object Referencing through Legible Situated Projections. ICRA 2019: 8004-8010 - [c147]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 - [c146]Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. IJCAI 2019: 6161-6165 - [c145]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 - [c144]Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. IROS 2019: 1488-1495 - [c143]Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa:
Improving Robot Success Detection using Static Object Data. IROS 2019: 4229-4235 - [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]Jeongseok Lee, Daqing Yi, Siddhartha S. Srinivasa:
Sampling of Pareto-Optimal Trajectories Using Progressive Objective Evaluation in Multi-Objective Motion Planning. IROS 2018: 1-9 - [c131]Sherdil Niyaz, Alan Kuntz, Oren Salzman, Ron Alterovitz, Siddhartha S. Srinivasa:
Following Surgical Trajectories with Concentric Tube Robots via Nearest-Neighbor Graphs. ISER 2018: 3-13 - [c130]Sara Sheikholeslami, Gilwoo Lee, Justin W. Hart, Siddhartha S. Srinivasa, Elizabeth A. Croft:
A Study of Reaching Motions for Collaborative Human-Robot Interaction. ISER 2018: 584-594 - [e3]Hadas Kress-Gazit, Siddhartha S. Srinivasa, Tom Howard, Nikolay Atanasov:
Robotics: Science and Systems XIV, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, June 26-30, 2018. 2018, ISBN 978-0-9923747-4-7 [contents] - [i44]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. CoRR abs/1801.04099 (2018) - [i43]Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha S. Srinivasa, Geoffrey J. Gordon:
Recurrent Predictive State Policy Networks. CoRR abs/1803.01489 (2018) - [i42]Aditya Mandalika, Oren Salzman, Siddhartha S. Srinivasa:
Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges. CoRR abs/1803.04998 (2018) - [i41]Tapomayukh Bhattacharjee, Hanjun Song, Gilwoo Lee, Siddhartha S. Srinivasa:
Food manipulation: A cadence of haptic signals. CoRR abs/1804.08768 (2018) - [i40]Rosario Scalise, Yonatan Bisk, Maxwell Forbes, Daqing Yi, Yejin Choi, Siddhartha S. Srinivasa:
Balancing Shared Autonomy with Human-Robot Communication. CoRR abs/1805.07719 (2018) - [i39]Benjamin A. Newman, Reuben M. Aronson, Siddhartha S. Srinivasa, Kris Kitani, Henny Admoni:
HARMONIC: A Multimodal Dataset of Assistive Human-Robot Collaboration. CoRR abs/1807.11154 (2018) - [i38]Patrick E. Lancaster, Joshua R. Smith, Siddhartha S. Srinivasa:
Improved Proximity, Contact, and Force Sensing via Optimization of Elastomer-Air Interface Geometry. CoRR abs/1810.00485 (2018) - [i37]Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa:
Bayesian Policy Optimization for Model Uncertainty. CoRR abs/1810.01014 (2018) - [i36]Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa:
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. CoRR abs/1810.03048 (2018) - [i35]Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha S. Srinivasa:
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. CoRR abs/1810.10654 (2018) - 2017
- [j27]Ivan Dryanovski, Matthew Klingensmith
, Siddhartha S. Srinivasa, Jizhong Xiao:
Large-scale, real-time 3D scene reconstruction on a mobile device. Auton. Robots 41(6): 1423-1445 (2017) - [j26]Berk Çalli, Arjun Singh, James Bruce, Aaron Walsman, Kurt Konolige, Siddhartha S. Srinivasa, Pieter Abbeel, Aaron M. Dollar:
Yale-CMU-Berkeley dataset for robotic manipulation research. Int. J. Robotics Res. 36(3): 261-268 (2017) - [j25]Henny Admoni, Julie A. Shah, Siddhartha S. Srinivasa:
Editorial: Special Issue on Human-Robot Interaction. Int. J. Robotics Res. 36(5-7): 459-460 (2017) - [j24]Stefanos Nikolaidis, David Hsu, Siddhartha S. Srinivasa:
Human-robot mutual adaptation in collaborative tasks: Models and experiments. Int. J. Robotics Res. 36(5-7): 618-634 (2017) - [c129]Oren Salzman, Brian Hou, Siddhartha S. Srinivasa:
Efficient Motion Planning for Problems Lacking Optimal Substructure. ICAPS 2017: 531-539 - [c128]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. HRI 2017: 294-302 - [c127]Stefanos Nikolaidis, Swaprava Nath
, Ariel D. Procaccia, Siddhartha S. Srinivasa:
Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration. HRI 2017: 323-331 - [c126]Rosario Scalise, Stephanie Rosenthal, Siddhartha S. Srinivasa:
Natural Language Explanations in Human-Collaborative Systems. HRI (Companion) 2017: 377-378 - [c125]Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Densification strategies for anytime motion planning over large dense roadmaps. ICRA 2017: 3770-3777 - [c124]Michael C. Koval, Matthew Klingensmith, Siddhartha S. Srinivasa, Nancy S. Pollard, Michael Kaess:
The manifold particle filter for state estimation on high-dimensional implicit manifolds. ICRA 2017: 4673-4680 - [c123]Jennifer E. King, Vinitha Ranganeni, Siddhartha S. Srinivasa:
Unobservable Monte Carlo planning for nonprehensile rearrangement tasks. ICRA 2017: 4681-4688 - [c122]Daqing Yi, Shushman Choudhury, Siddhartha S. Srinivasa:
Incorporating qualitative information into quantitative estimation via Sequentially Constrained Hamiltonian Monte Carlo sampling. IROS 2017: 4648-4655 - [c121]Joni Pajarinen
, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann:
Hybrid control trajectory optimization under uncertainty. IROS 2017: 5694-5701 - [c120]Pengju Jin, Pyry Matikainen, Siddhartha S. Srinivasa:
Sensor fusion for fiducial tags: Highly robust pose estimation from single frame RGBD. IROS 2017: 5770-5776 - [c119]Sanjiban Choudhury, Siddhartha S. Srinivasa:
A Bayesian Active Learning Approach to Adaptive Motion Planning. ISRR 2017: 33-40 - [c118]Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. NIPS 2017: 4631-4641 - [c117]Stefanos Nikolaidis, Siddhartha S. Srinivasa:
Modeling Human Adaptation in Repeated Collaborative Tasks. PETRA 2017: 246-247 - [c116]Shen Li, Rosario Scalise, Henny Admoni
, Siddhartha S. Srinivasa, Stephanie Rosenthal:
Evaluating critical points in trajectories. RO-MAN 2017: 1357-1364 - [e2]Nancy M. Amato, Siddhartha S. Srinivasa, Nora Ayanian, Scott Kuindersma:
Robotics: Science and Systems XIII, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, July 12-16, 2017. 2017, ISBN 978-0-9923747-3-0 [contents] - [i34]Stefanos Nikolaidis, Swaprava Nath
, Ariel D. Procaccia, Siddhartha S. Srinivasa:
Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration. CoRR abs/1701.07790 (2017) - [i33]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. CoRR abs/1701.07851 (2017) - [i32]Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann:
Hybrid control trajectory optimization under uncertainty. CoRR abs/1702.04396 (2017) - [i31]Oren Salzman, Brian Hou, Siddhartha S. Srinivasa:
Efficient motion planning for problems lacking optimal substructure. CoRR abs/1703.02582 (2017) - [i30]Rachel M. Holladay, Siddhartha S. Srinivasa:
A New Paradigm for Robotic Dust Collection: Theorems, User Studies, and a Field Study. CoRR abs/1703.08736 (2017) - [i29]Gilwoo Lee, Siddhartha S. Srinivasa, Matthew T. Mason:
GP-ILQG: Data-driven Robust Optimal Control for Uncertain Nonlinear Dynamical Systems. CoRR abs/1705.05344 (2017) - [i28]Shervin Javdani, Henny Admoni, Stefania Pellegrinelli, Siddhartha S. Srinivasa, J. Andrew Bagnell:
Shared Autonomy via Hindsight Optimization for Teleoperation and Teaming. CoRR abs/1706.00155 (2017) - [i27]Stefanos Nikolaidis, Minae Kwon, Jodi Forlizzi, Siddhartha S. Srinivasa:
Planning with Verbal Communication for Human-Robot Collaboration. CoRR abs/1706.04694 (2017) - [i26]Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Informed Sampling for Asymptotically Optimal Path Planning. CoRR abs/1706.06454 (2017) - [i25]Sanjiban Choudhury, Shervin Javdani, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs. CoRR abs/1706.09351 (2017) - [i24]Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Informed Asymptotically Optimal Anytime Search. CoRR abs/1707.01888 (2017) - [i23]Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie A. Shah, Siddhartha S. Srinivasa:
Mathematical Models of Adaptation in Human-Robot Collaboration. CoRR abs/1707.02586 (2017) - [i22]Gilwoo Lee, Zita Marinho, Aaron M. Johnson, Geoffrey J. Gordon, Siddhartha S. Srinivasa, Matthew T. Mason:
Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems. CoRR abs/1710.00440 (2017) - [i21]Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. CoRR abs/1710.04101 (2017) - [i20]Shushman Choudhury, Yifan Hou, Gilwoo Lee, Siddhartha S. Srinivasa:
Hybrid DDP in Clutter (CHDDP): Trajectory Optimization for Hybrid Dynamical System in Cluttered Environments. CoRR abs/1710.05231 (2017) - [i19]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. CoRR abs/1710.06092 (2017) - [i18]Rachel M. Holladay, Oren Salzman, Siddhartha S. Srinivasa:
Minimizing Task Space Frechet Error via Efficient Incremental Graph Search. CoRR abs/1710.06738 (2017) - [i17]Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Christopher M. Dellin, Siddhartha S. Srinivasa:
Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations. CoRR abs/1711.04040 (2017) - [i16]Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Bayesian Active Edge Evaluation on Expensive Graphs. CoRR abs/1711.07329 (2017) - 2016
- [j23]Michael C. Koval, Nancy S. Pollard, Siddhartha S. Srinivasa:
Pre- and post-contact policy decomposition for planar contact manipulation under uncertainty. Int. J. Robotics Res. 35(1-3): 244-264 (2016) - [j22]Aaron M. Johnson
, Jennifer E. King, Siddhartha S. Srinivasa:
Convergent Planning. IEEE Robotics Autom. Lett. 1(2): 1044-1051 (2016) - [c115]Henny Admoni, Siddhartha S. Srinivasa:
Predicting User Intent Through Eye Gaze for Shared Autonomy. AAAI Fall Symposia 2016 - [c114]Rachel M. Holladay, Siddhartha S. Srinivasa:
RoGuE : Robot Gesture Engine. AAAI Spring Symposia 2016 - [c113]Christopher M. Dellin, Siddhartha S. Srinivasa:
A Unifying Formalism for Shortest Path Problems with Expensive Edge Evaluations via Lazy Best-First Search over Paths with Edge Selectors. ICAPS 2016: 459-467 - [c112]Laura V. Herlant, Rachel M. Holladay, Siddhartha S. Srinivasa:
Assistive Teleoperation of Robot Arms via Automatic Time-Optimal Mode Switching. HRI 2016: 35-42 - [c111]Stefanos Nikolaidis, Anton Kuznetsov, David Hsu, Siddhartha S. Srinivasa:
Formalizing Human-Robot Mutual Adaptation: A Bounded Memory Model. HRI 2016: 75-82 - [c110]Stefanos Nikolaidis, Anca D. Dragan, Siddhartha S. Srinivasa:
Viewpoint-Based Legibility Optimization. HRI 2016: 271-278 - [c109]Shervin Javdani, James Andrew Bagnell, Siddhartha S. Srinivasa:
Minimizing User Cost for Shared Autonomy. HRI 2016: 621-622 - [c108]Jennifer E. King, Marco Cognetti
, Siddhartha S. Srinivasa:
Rearrangement planning using object-centric and robot-centric action spaces. ICRA 2016: 3940-3947 - [c107]