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2020 – today
- 2024
[i6]So Yeon Min, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Akshara Rai, Priyam Parashar, Ruslan Salakhutdinov, Yonatan Bisk, Roozbeh Mottaghi:
Situated Instruction Following. CoRR abs/2407.12061 (2024)- 2023
- [c5]Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton:
SLAP: Spatial-Language Attention Policies. CoRL 2023: 3571-3596 - [i5]Priyam Parashar, Jay Vakil, Sam Powers, Chris Paxton:
Spatial-Language Attention Policies for Efficient Robot Learning. CoRR abs/2304.11235 (2023) - 2021
- [b1]Priyam Parashar:
Using Meta-reasoning for Failure Detection and Recovery in Assembly Domain. University of California, San Diego, USA, 2021 - [c4]Priyam Parashar, Aayush Naik, Jiaming Hu, Henrik I. Christensen
:
A Hierarchical Model to Enable Plan Reuse and Repair in Assembly Domains. CASE 2021: 387-394 - [i4]Priyam Parashar, Aayush Naik, Jiaming Hu, Henrik I. Christensen:
Meta-Modeling of Assembly Contingencies and Planning for Repair. CoRR abs/2103.07544 (2021) - [i3]Aayush Naik, Priyam Parashar, Jiaming Hu, Henrik I. Christensen:
Lessons Learned Developing an Assembly System for WRS 2020 Assembly Challenge. CoRR abs/2103.15236 (2021) - 2020
- [i2]Jiaming Hu, Hongyi Ling, Priyam Parashar, Aayush Naik, Henrik I. Christensen:
Pose Estimation of Specular and Symmetrical Objects. CoRR abs/2011.00372 (2020)
2010 – 2019
- 2019
- [c3]Priyam Parashar, Lindsay M. Sanneman, Julie A. Shah, Henrik I. Christensen:
A Taxonomy for Characterizing Modes of Interactions in Goal-driven, Human-robot Teams. IROS 2019: 2213-2220 - 2018
- [j1]Priyam Parashar, Ashok K. Goel, Bradley Sheneman, Henrik I. Christensen:
Towards life-long adaptive agents: using metareasoning for combining knowledge-based planning with situated learning. Knowl. Eng. Rev. 33: e24 (2018) - [i1]Priyam Parashar, Akansel Cosgun, Alireza Nakhaei, Kikuo Fujimura:
Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations. CoRR abs/1806.00143 (2018) - 2017
- [c2]Priyam Parashar, Bradley Sheneman, Ashok K. Goel:
Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning. AAMAS Workshops (Visionary Papers) 2017: 86-100 - 2015
- [c1]Priyam Parashar, Robert Fisher, Reid G. Simmons, Manuela M. Veloso, Joydeep Biswas:
Learning Context-Based Outcomes for Mobile Robots in Unstructured Indoor Environments. ICMLA 2015: 703-706
Coauthor Index
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