SymPy: Symbolic computing in Python. - Aaron Meurer; Christopher P. Smith; Mateusz Paprocki; Ondrej Certík; Matthew Rocklin; Amit Kumar; Sergiu Ivanov 001; Jason Keith Moore; Sartaj Singh; Thilina Rathnayake; Sean Vig; Brian E. Granger; et al. (PeerJ Prepr., 2016)

Learning to Avoid Local Minima in Planning for Static Environments. - Shivam Vats; Venkatraman Narayanan; Maxim Likhachev (ICAPS, 2017)

SymPy: symbolic computing in Python. - Aaron Meurer; Christopher P. Smith; Mateusz Paprocki; Ondrej Certík; Sergey B. Kirpichev; Matthew Rocklin; Amit Kumar; Sergiu Ivanov 001; Jason Keith Moore; Sartaj Singh; Thilina Rathnayake; Sean Vig; et al. (PeerJ Comput. Sci., 2017)

Learning to Use Adaptive Motion Primitives in Search-Based Planning for Navigation. - Raghav Sood; Shivam Vats; Maxim Likhachev (IROS, 2020)

Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation. - Jacky Liang; Mohit Sharma 001; Alex LaGrassa; Shivam Vats; Saumya Saxena; Oliver Kroemer (ICRA, 2022)

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

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

SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation. - Tabitha Edith Lee; Shivam Vats; Siddharth Girdhar; Oliver Kroemer (CoRL, 2023)

Efficient Recovery Learning using Model Predictive Meta-Reasoning. - Shivam Vats; Maxim Likhachev; Oliver Kroemer (ICRA, 2023)

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

Plan to Learn: Active Robot Learning by Planning - Shivam Vats (2024)

Multi-Robot Motion Planning with Diffusion Models. - Yorai Shaoul; Itamar Mishani; Shivam Vats; Jiaoyang Li 001; Maxim Likhachev (ICLR, 2025)

Optimal Interactive Learning on the Job via Facility Location Planning. - Shivam Vats; Michelle Zhao; Patrick Callaghan; Mingxi Jia; Maxim Likhachev; Oliver Kroemer; George Dimitri Konidaris (CoRR, 2025)

Accelerating Residual Reinforcement Learning with Uncertainty Estimation. - Lakshita Dodeja; Karl Schmeckpeper; Shivam Vats; Thomas Weng; Mingxi Jia; George Konidaris 001; Stefanie Tellex (CoRR, 2025)