5 papers · 1 filter
A Benchmarking Study of Vision-Based Robotic Grasping Algorithms: A Comparative Analysis
Bharath K Rameshbabu, Sumukh S Balakrishna, Brian Flynn +4
We present a benchmarking study of vision-based robotic grasping algorithms and provide a comparative analysis. In particular, we compare two machine-learning-based and two analyti…
A Benchmarking Study of Vision-based Robotic Grasping Algorithms
Bharath K Rameshbabu, Sumukh S Balakrishna, Brian Flynn +4
We present a benchmarking study of vision-based robotic grasping algorithms with distinct approaches, and provide a comparative analysis. In particular, we compare two machine-lear…
Towards Developing Standards and Guidelines for Robot Grasping and Manipulation Pipelines in the COMPARE Ecosystem
Huajing Zhao, Brian Flynn, Adam Norton +1
The COMPARE Ecosystem aims to improve the compatibility and benchmarking of open-source products for robot manipulation through a series of activities. One such activity is the dev…
Developing Modular Grasping and Manipulation Pipeline Infrastructure to Streamline Performance Benchmarking
Brian Flynn, Kostas Bekris, Berk Calli +4
The robot manipulation ecosystem currently faces issues with integrating open-source components and reproducing results. This limits the ability of the community to benchmark and c…
Towards Using Multiple Iterated, Reproduced, and Replicated Experiments with Robots (MIRRER) for Evaluation and Benchmarking
Adam Norton, Brian Flynn
The robotics research field lacks formalized definitions and frameworks for evaluating advanced capabilities including generalizability (the ability for robots to perform tasks und…