Priyam Parashar

According to our database, Priyam Parashar authored at least 12 papers between 2015 and 2023.

Collaborative distances:

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

2023

Spatial-Language Attention Policies for Efficient Robot Learning.

Priyam Parashar, Jay Vakil, Sam Powers, Chris Paxton

CoRR, 2023

SLAP: Spatial-Language Attention Policies.

Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton

Proceedings of the Conference on Robot Learning, 2023

2021

Using Meta-reasoning for Failure Detection and Recovery in Assembly Domain.

Priyam Parashar

PhD thesis, 2021

Lessons Learned Developing an Assembly System for WRS 2020 Assembly Challenge.

Aayush Naik, Priyam Parashar, Jiaming Hu, Henrik I. Christensen

CoRR, 2021

Meta-Modeling of Assembly Contingencies and Planning for Repair.

Priyam Parashar, Aayush Naik, Jiaming Hu, Henrik I. Christensen

CoRR, 2021

A Hierarchical Model to Enable Plan Reuse and Repair in Assembly Domains.

Priyam Parashar, Aayush Naik, Jiaming Hu, Henrik I. Christensen

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Pose Estimation of Specular and Symmetrical Objects.

Jiaming Hu, Hongyi Ling, Priyam Parashar, Aayush Naik, Henrik I. Christensen

CoRR, 2020

2019

A Taxonomy for Characterizing Modes of Interactions in Goal-driven, Human-robot Teams.

Priyam Parashar, Lindsay M. Sanneman, Julie A. Shah, Henrik I. Christensen

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Towards life-long adaptive agents: using metareasoning for combining knowledge-based planning with situated learning.

Priyam Parashar, Ashok K. Goel, Bradley Sheneman, Henrik I. Christensen

Knowl. Eng. Rev., 2018

Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations.

Priyam Parashar, Akansel Cosgun, Alireza Nakhaei, Kikuo Fujimura

CoRR, 2018

2017

Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning.

Priyam Parashar, Bradley Sheneman, Ashok K. Goel

Proceedings of the Autonomous Agents and Multiagent Systems, 2017

2015

Learning Context-Based Outcomes for Mobile Robots in Unstructured Indoor Environments.

Priyam Parashar, Robert Fisher, Reid G. Simmons, Manuela M. Veloso, Joydeep Biswas

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015