activity
20202026
most citedOCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Pack it in: Packing into Partially Filled Containers Through Contact

David Russell, Zisong Xu, Maximo A. Roa +1

The automation of warehouse operations is crucial for improving productivity and reducing human exposure to hazardous environments. One operation frequently performed in warehouses…

cs.RO2024★ 2 cited

LLM-guided Task and Motion Planning using Knowledge-based Reasoning

Muhayy Ud Din, Jan Rosell, Waseem Akram +3

Performing complex manipulation tasks in dynamic environments requires efficient Task and Motion Planning (TAMP) approaches that combine high-level symbolic plans with low-level mo…

cs.RO2021★ 1 cited

Research Challenges and Progress in Robotic Grasping and Manipulation Competitions

Yu Sun, Joe Falco, Maximo A. Roa +1

This paper discusses recent research progress in robotic grasping and manipulation in the light of the latest Robotic Grasping and Manipulation Competitions (RGMCs). We first provi…

cs.RO2021★ 6 cited

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation

Ziyuan Liu, Wei Liu, Yuzhe Qin +8

In this paper, we propose a cloud-based benchmark for robotic grasping and manipulation, called the OCRTOC benchmark. The benchmark focuses on the object rearrangement problem, spe…

cs.RO2020

CLASH WRIST -- A hardware to increase the capability of CLASH fruit gripper to use environment constraints exploration

Werner Friedl, Maximo A. Roa

Humans use environmental constraints (EC) in manipulation to compensate for uncertainties in their world model. The same principle was recently applied to robotics, so that soft un…