arXiv:2603.29512v1 Announce Type: new
Abstract: The reliable operation of Unmanned Underwater Vehicle (UUV) clusters is highly dependent on continuous acoustic communication. However, this communication method is highly susceptible to intermittent int…
arXiv:2507.12194v3 Announce Type: replace
Abstract: Existing LGL methods typically consider only partial information (e.g., geometric features) from LiDAR observations or are designed for homogeneous LiDAR sensors, overlooking the uniformity in LGL. I…
arXiv:2603.29452v1 Announce Type: new
Abstract: Stable traversal over geometrically complex terrain increasingly requires exteroceptive perception, yet prior perceptive humanoid locomotion methods often remain tied to explicit geometric abstractions, …
arXiv:2603.29560v1 Announce Type: cross
Abstract: We consider safety-critical multi-agent systems with distributed control architectures and potentially varying network topologies. While learning-based distributed control enables scalability and high …
arXiv:2603.29409v1 Announce Type: new
Abstract: Robotic manipulation involves kinematic and semantic transitions that are inherently coupled via underlying actions. However, existing approaches plan within either semantic or latent space without expli…
arXiv:2603.29391v1 Announce Type: new
Abstract: The use of semantic features can improve the efficiency of target search in unknown environments for robotic search and rescue missions. Current target search methods rely on training with large datasets…
arXiv:2603.29383v1 Announce Type: new
Abstract: State estimation for legged robots remains challenging because legged odometry generally suffers from limited observability and therefore depends critically on measurement constraints to suppress drift. …
arXiv:2603.29363v1 Announce Type: new
Abstract: As the amount of used home appliances is expected to increase despite the decreasing labor force in Japan, there is a need to automate disassembling processes at recycling plants. The automation of disas…
arXiv:2603.28831v1 Announce Type: new
Abstract: Combining different types of agents in uncrewed vehicle (UV) swarms has emerged as an approach to enhance mission resilience and operational capabilities across a wide range of applications. This study o…
arXiv:2603.29254v1 Announce Type: new
Abstract: Robotic grasping from single-view observations remains a critical challenge in manipulation. Existing methods still struggle to generate stable and valid grasp poses when confronted with incomplete geome…