Tag
KinDER is a new open-source benchmark for physical reasoning in robotics, featuring procedurally generated environments and baselines to evaluate kinematic and dynamic constraint challenges.
RAD-2 presents a unified generator-discriminator framework for autonomous driving that combines diffusion-based trajectory generation with RL-optimized reranking, achieving 56% collision rate reduction compared to diffusion-based planners. The approach introduces techniques like Temporally Consistent Group Relative Policy Optimization and BEV-Warp simulation environment for efficient large-scale training.