Learning Context-Based Outcomes for Mobile Robots in Unstructured Indoor Environments. - Priyam Parashar; Robert Fisher; Reid G. Simmons; Manuela M. Veloso; Joydeep Biswas (ICMLA, 2015)

Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning. - Priyam Parashar; Bradley Sheneman; Ashok K. Goel 001 (AAMAS Workshops (Visionary Papers), 2017)

Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations. - Priyam Parashar; Akansel Cosgun; Alireza Nakhaei; Kikuo Fujimura (CoRR, 2018)

Towards life-long adaptive agents: using metareasoning for combining knowledge-based planning with situated learning. - Priyam Parashar; Ashok K. Goel 001; Bradley Sheneman; Henrik I. Christensen (Knowl. Eng. Rev., 2018)

A Taxonomy for Characterizing Modes of Interactions in Goal-driven, Human-robot Teams. - Priyam Parashar; Lindsay M. Sanneman; Julie A. Shah; Henrik I. Christensen (IROS, 2019)

Pose Estimation of Specular and Symmetrical Objects. - Jiaming Hu; Hongyi Ling; Priyam Parashar; Aayush Naik; Henrik I. Christensen (CoRR, 2020)

A Hierarchical Model to Enable Plan Reuse and Repair in Assembly Domains. - Priyam Parashar; Aayush Naik; Jiaming Hu; Henrik I. Christensen (CASE, 2021)

Meta-Modeling of Assembly Contingencies and Planning for Repair. - Priyam Parashar; Aayush Naik; Jiaming Hu; Henrik I. Christensen (CoRR, 2021)

Lessons Learned Developing an Assembly System for WRS 2020 Assembly Challenge. - Aayush Naik; Priyam Parashar; Jiaming Hu; Henrik I. Christensen (CoRR, 2021)

Using Meta-reasoning for Failure Detection and Recovery in Assembly Domain. - Priyam Parashar (2021)

SLAP: Spatial-Language Attention Policies. - Priyam Parashar; Vidhi Jain; Xiaohan Zhang 002; Jay Vakil; Sam Powers; Yonatan Bisk; Chris Paxton 001 (CoRL, 2023)

Spatial-Language Attention Policies for Efficient Robot Learning. - Priyam Parashar; Jay Vakil; Sam Powers; Chris Paxton 001 (CoRR, 2023)

Situated Instruction Following. - So Yeon Min; Xavier Puig; Devendra Singh Chaplot; Tsung-Yen Yang; Akshara Rai; Priyam Parashar; Ruslan Salakhutdinov; Yonatan Bisk; Roozbeh Mottaghi (ECCV (61), 2024)

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Matthew Chang; Gunjan Chhablani; Alexander Clegg; Mikael Dallaire Cote; Ruta Desai; Michal Hlavac; Vladimir Karashchuk; Jacob Krantz; Roozbeh Mottaghi; Priyam Parashar; Siddharth Patki; Ishita Prasad; et al. (ICLR, 2025)