Multi-Robot Motion Planning with Diffusion Models - Yorai Shaoul; Itamar Mishani; Shivam Vats; Jiaoyang Li; Maxim Likhachev (CoRR, 2024)

RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation - Shivam Vats; Devesh K. Jha; Maxim Likhachev; Oliver Kroemer; Diego Romeres (CoRR, 2024)

SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation - Tabitha Edith Lee; Shivam Vats; Siddharth Girdhar; Oliver Kroemer (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

Efficient Recovery Learning using Model Predictive Meta-Reasoning - Shivam Vats; Maxim Likhachev; Oliver Kroemer (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams - Shivam Vats; Oliver Kroemer; Maxim Likhachev (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation - Jacky Liang; Mohit Sharma; Alex LaGrassa; Shivam Vats; Saumya Saxena; Oliver Kroemer (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams - Shivam Vats; Oliver Kroemer; Maxim Likhachev (CoRR, 2022)

Efficiently Learning Recoveries from Failures Under Partial Observability - Shivam Vats; Maxim Likhachev; Oliver Kroemer (CoRR, 2022)

Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation - Jacky Liang; Mohit Sharma; Alex LaGrassa; Shivam Vats; Saumya Saxena; Oliver Kroemer (CoRR, 2021)

Learning to Use Adaptive Motion Primitives in Search-Based Planning for Navigation - Raghav Sood; Shivam Vats; Maxim Likhachev (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

SymPy: symbolic computing in Python - 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; et al. (PeerJ Comput. Sci., 2017)

Learning to Avoid Local Minima in Planning for Static Environments - Shivam Vats; Venkatraman Narayanan; Maxim Likhachev (Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, ICAPS 2017, Pittsburgh, Pennsylvania, USA, June 18-23, 2017, 2017)

SymPy: Symbolic computing in Python - 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; et al. (PeerJ Prepr., 2016)