Type: An evaluation-centric paper (focused on advancing methods and ideas for robot evaluation)
Keywords: Evaluation, Benchmark, Sim-to-real, Task
Abstract: Current vision-based robotics simulation benchmarks have significantly advanced robotic manipulation research. However, robotics is fundamentally a real-world problem, and evaluation for real-world applications has lagged behind in evaluating generalist policies.
In this paper, we discuss challenges and desiderata in designing benchmarks for generalist robotic manipulation policies for the goal of sim-to-real policy transfer. We propose 1) utilizing high visual-fidelity simulation for improved sim-to-real transfer, 2) evaluating policies by systematic increasing task complexity and scenario perturbation to assess robustness, and 3) quantifying performance alignment between real-world performance and its simulation counterparts.
Submission Number: 15
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