1 citations · 3 across the 6 of their papers we have counts for
6 papers · 1 filter
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks
Matthew Chang, Gunjan Chhablani, Alexander Clegg +17
We present a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration (PARTNR) designed to study human-robot coordination in household activities. PARTNR tasks exhib…
Spatial-Language Attention Policies for Efficient Robot Learning
Priyam Parashar, Vidhi Jain, Xiaohan Zhang +4
Despite great strides in language-guided manipulation, existing work has been constrained to table-top settings. Table-tops allow for perfect and consistent camera angles, properti…
Lessons Learned Developing an Assembly System for WRS 2020 Assembly Challenge
Aayush Naik, Priyam Parashar, Jiaming Hu +1
The World Robot Summit (WRS) 2020 Assembly Challenge is designed to allow teams to demonstrate how one can build flexible, robust systems for assembly of machined objects. We prese…
Meta-Modeling of Assembly Contingencies and Planning for Repair
Priyam Parashar, Aayush Naik, Jiaming Hu +1
The World Robotics Challenge (2018 & 2020) was designed to challenge teams to design systems that are easy to adapt to new tasks and to ensure robust operation in a semi-structured…
Pose Estimation of Specular and Symmetrical Objects
Jiaming Hu, Hongyi Ling, Priyam Parashar +2
In the robotic industry, specular and textureless metallic components are ubiquitous. The 6D pose estimation of such objects with only a monocular RGB camera is difficult because o…
Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations
Priyam Parashar, Akansel Cosgun, Alireza Nakhaei +1
This paper presents a learning from demonstration approach to programming safe, autonomous behaviors for uncommon driving scenarios. Simulation is used to re-create a targeted driv…