This paper introduces a benchmark framework to evaluate the performance of reaching motion generation approaches that learn from demonstrated examples.
Abstract: This paper introduces a benchmark framework to evaluate the performance of reaching motion genera- tion approaches that learn from demonstrated ...
This paper introduces a benchmark framework to evaluate the performance of reaching motion generation approaches that learn from demonstrated examples.
Open-source benchmarking for learned reaching motion generation in robotics. Paladyn, Journal of Behavioral Robotics. 2015;6(1):30-41. Lemme, A., Meirovitch ...
Dec 5, 2022 · MotionBenchMaker is a tool that can be used to procedurally generate datasets for a fair and unbiased evaluation of planners.
Open-source benchmarking for learned reaching motion generation in robotics ; Year of Publication, 2015 ; Authors, Lemme A, Meirovitch Y, Khansari-Zadeh SMohammad ...
7 days ago · Our benchmark incorporates various task splits to assess generalization across different dimensions and leverages realistic physics simulation ...
- Lemme, Andre, et al. "Open-source benchmarking for learned reaching motion generation in robotics." Paladyn, Journal of Behavioral Robotics 6.1 (2015).
Open-source benchmarking for learned reaching motion generation in robotics. Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/paladyn ...
Nov 18, 2021 · new open-source tool to procedurally generate and benchmark motion ... learning benchmark learning environment,” IEEE Robot. Autom ...