Shivam Vats

According to our database, Shivam Vats authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient Recovery Learning using Model Predictive Meta-Reasoning.

Shivam Vats, Maxim Likhachev, Oliver Kroemer

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation.

Tabitha Edith Lee, Shivam Vats, Siddharth Girdhar, Oliver Kroemer

Proceedings of the Conference on Robot Learning, 2023

2022

Efficiently Learning Recoveries from Failures Under Partial Observability.

Shivam Vats, Maxim Likhachev, Oliver Kroemer

CoRR, 2022

Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams.

Shivam Vats, Oliver Kroemer, Maxim Likhachev

Proceedings of the 2022 International Conference on Robotics and Automation, 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

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2020

Learning to Use Adaptive Motion Primitives in Search-Based Planning for Navigation.

Raghav Sood, Shivam Vats, Maxim Likhachev

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2017

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, 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

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, 2017

2016

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, 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

PeerJ Prepr., 2016