Shivam Vats

19 papers A* 5A 2Misc 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Residual Reinforcement Learning With Uncertainty Estimation.
IEEE Robotics Autom. Lett.
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
2025 J jnl
Accelerating Residual Reinforcement Learning with Uncertainty Estimation.
CoRR
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
2025 A* conf
Multi-Robot Motion Planning with Diffusion Models.
ICLR
Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev
2025 J jnl
Optimal Interactive Learning on the Job via Facility Location Planning.
CoRR
Shivam Vats, Michelle Zhao, Patrick Callaghan, Mingxi Jia, Maxim Likhachev, Oliver Kroemer, George Dimitri Konidaris
2025 A conf
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation.
IROS
Shivam Vats, Devesh K. Jha, Maxim Likhachev, Oliver Kroemer, Diego Romeres
2024 J jnl
Multi-Robot Motion Planning with Diffusion Models.
CoRR
Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev
2024 — —
Plan to Learn: Active Robot Learning by Planning
Shivam Vats
2024 J jnl
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation.
CoRR
Shivam Vats, Devesh K. Jha, Maxim Likhachev, Oliver Kroemer, Diego Romeres
2023 A* conf
Efficient Recovery Learning using Model Predictive Meta-Reasoning.
ICRA
Shivam Vats, Maxim Likhachev, Oliver Kroemer
2023 Misc conf
SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation.
CoRL
Tabitha Edith Lee, Shivam Vats, Siddharth Girdhar, Oliver Kroemer
2022 J jnl
Efficiently Learning Recoveries from Failures Under Partial Observability.
CoRR
Shivam Vats, Maxim Likhachev, Oliver Kroemer
2022 A* conf
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation.
ICRA
Jacky Liang, Mohit Sharma, Alex LaGrassa, Shivam Vats, Saumya Saxena, Oliver Kroemer
2022 A* conf
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams.
ICRA
Shivam Vats, Oliver Kroemer, Maxim Likhachev
2022 J jnl
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams.
CoRR
Shivam Vats, Oliver Kroemer, Maxim Likhachev
2021 J jnl
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation.
CoRR
Jacky Liang, Mohit Sharma, Alex LaGrassa, Shivam Vats, Saumya Saxena, Oliver Kroemer
2020 A conf
Learning to Use Adaptive Motion Primitives in Search-Based Planning for Navigation.
IROS
Raghav Sood, Shivam Vats, Maxim Likhachev
2017 A* conf
Learning to Avoid Local Minima in Planning for Static Environments.
ICAPS
Shivam Vats, Venkatraman Narayanan, Maxim Likhachev
2017 J jnl
SymPy: symbolic computing in Python.
PeerJ Comput. Sci.
Aaron Meurer, Christopher P. Smith, Mateusz Paprocki, Ondrej Certík, Sergey B. Kirpichev, Matthew Rocklin, Amit Kumar, Sergiu Ivanov, Jason Keith Moore, Sartaj Singh, Thilina Rathnayake, Sean Vig, Brian E. Granger, Richard P. Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, Matthew J. Curry, Andy R. Terrel, Stepán Roucka, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, Anthony M. Scopatz
2016 J jnl
SymPy: Symbolic computing in Python.
PeerJ Prepr.
Aaron Meurer, Christopher P. Smith, Mateusz Paprocki, Ondrej Certík, Matthew Rocklin, Amit Kumar, Sergiu Ivanov, Jason Keith Moore, Sartaj Singh, Thilina Rathnayake, Sean Vig, Brian E. Granger, Richard P. Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, Matthew J. Curry, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, Anthony M. Scopatz