ArcLab

[Adv. Sci. 2026] MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

(ICCV2025) Learning-based Event-Inertial Odometry

(TIV2023) ECMD: An Event-Centric Multisensory Driving Dataset for SLAM

[RA-L'25] A Simple LiDAR-centric End-to-end Navigation Framework in Dynamic Environments

(TIE2026) SuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry

In this work, we introduce a novel training framework that achieves height-aware and omnidirectional jumping for quadrupedal robots.

[IROS 2025 Best RoboCup Paper Award] Like Playing a Video Game: Spatial-Temporal Optimization of Foot Trajectories for Controlled Football Kicking in Bipedal Robots