5 papers
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…
Threading the Needle: Test and Evaluation of Early Stage UAS Capabilities to Autonomously Navigate GPS-Denied Environments in the DARPA Fast Lightweight Autonomy (FLA) Program
Adam Norton, Holly Yanco
The DARPA Fast Lightweight Autonomy (FLA) program (2015 - 2018) served as a significant milestone in the development of UAS, particularly for autonomous navigation through unknown…
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…