In order to provide the community with a standardized and systematic comparison between different state-of-the-art algorithms in motion generation, a benchmark framework has been developed in context of the FP7-EU AMARSi project.
The benchmark evaluates algorithms on a library of human motions based on various criteria such as "level of similarity to human motions", "accuracy in reaching the goal state", "adaptability to changes dynamic environments", "robustness to perturbations", etc. The workshop thereby allows participants to discuss strengths and drawbacks of existing approaches based on a common basis which is essential for researchers in the field.
Call for Participation:
Benchmarking of State-of-the-Art algorithms in Generating Human-Like Robot Reaching Motions