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cs.RO2025
Real-time Multi-Plane Segmentation Based on GPU Accelerated High-Resolution 3D Voxel Mapping for Legged Robot Locomotion
Shun Niijima, Ryoichi Tsuzaki, Noriaki Takasugi +1
This paper proposes a real-time multi-plane segmentation method based on GPU-accelerated high-resolution 3D voxel mapping for legged robot locomotion. Existing online planar mappin…
cs.RO2025
Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions
Yu Ishihara, Noriaki Takasugi, Kotaro Kawakami +2
Reinforcement learning has become an essential algorithm for generating complex robotic behaviors. However, to learn such behaviors, it is necessary to design a reward function tha…