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Shivam Vats
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2020 – today
- 2024
- [i6]Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev:
Multi-Robot Motion Planning with Diffusion Models. CoRR abs/2410.03072 (2024) - [i5]Shivam Vats, Devesh K. Jha, Maxim Likhachev, Oliver Kroemer, Diego Romeres:
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation. CoRR abs/2410.13979 (2024) - 2023
- [c6]Tabitha Edith Lee, Shivam Vats, Siddharth Girdhar, Oliver Kroemer:
SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation. CoRL 2023: 2229-2256 - [c5]Shivam Vats, Maxim Likhachev, Oliver Kroemer:
Efficient Recovery Learning using Model Predictive Meta-Reasoning. ICRA 2023: 7258-7264 - 2022
- [c4]Shivam Vats, Oliver Kroemer, Maxim Likhachev:
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams. ICRA 2022: 2789-2795 - [c3]Jacky Liang, Mohit Sharma, Alex LaGrassa, Shivam Vats, Saumya Saxena, Oliver Kroemer:
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation. ICRA 2022: 6351-6357 - [i4]Shivam Vats, Oliver Kroemer, Maxim Likhachev:
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams. CoRR abs/2203.07478 (2022) - [i3]Shivam Vats, Maxim Likhachev, Oliver Kroemer:
Efficiently Learning Recoveries from Failures Under Partial Observability. CoRR abs/2209.13605 (2022) - 2021
- [i2]Jacky Liang, Mohit Sharma, Alex LaGrassa, Shivam Vats, Saumya Saxena, Oliver Kroemer:
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation. CoRR abs/2109.08771 (2021) - 2020
- [c2]Raghav Sood, Shivam Vats, Maxim Likhachev:
Learning to Use Adaptive Motion Primitives in Search-Based Planning for Navigation. IROS 2020: 6923-6929
2010 – 2019
- 2017
- [j1]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
SymPy: symbolic computing in Python. PeerJ Comput. Sci. 3: e103 (2017) - [c1]Shivam Vats, Venkatraman Narayanan, Maxim Likhachev:
Learning to Avoid Local Minima in Planning for Static Environments. ICAPS 2017: 572-576 - 2016
- [i1]Aaron Meurer, Christopher P. Smith
SymPy: Symbolic computing in Python. PeerJ Prepr. 4: e2083 (2016)
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last updated on 2024-11-26 20:38 CET by the dblp team
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