arXiv:2603.25197v1 Announce Type: cross
Abstract: As AI assistants become integrated into safety engineering workflows for Physical AI systems, a critical question emerges: does AI assistance improve safety analysis quality, or introduce systematic bl…
arXiv:2603.25382v1 Announce Type: new
Abstract: Object-goal visual navigation requires robots to reason over semantic structure and act effectively under partial observability. Recent approaches based on object-level topological maps enable long-horiz…
arXiv:2603.24703v1 Announce Type: cross
Abstract: AI assistants can decompose multi-step workflows, but they do not natively speak industrial protocols such as Modbus, MQTT/Sparkplug B, or OPC UA, so this paper presents INDUSTRICONNECT, a prototype su…
arXiv:2603.25366v1 Announce Type: new
Abstract: Autonomous object search is challenging for mobile robots operating in indoor environments due to partial observability, perceptual uncertainty, and the need to trade off exploration and navigation effic…
arXiv:2603.24806v1 Announce Type: new
Abstract: Diffusion models are increasingly used for robot learning, but current designs face a clear trade-off. Action-chunking diffusion policies like ManiCM are fast to run, yet they only predict short segments…
arXiv:2603.25364v1 Announce Type: new
Abstract: Accurate post-processing navigation is essential for applications such as survey and mapping, where the full measurement history can be exploited to refine past state estimates. Fixed-interval smoothing …
arXiv:2512.17900v2 Announce Type: replace-cross
Abstract: Understanding and generating multi-person interactions is a fundamental challenge with broad implications for robotics and social computing. While humans naturally coordinate in groups, modelin…
arXiv:2603.25353v1 Announce Type: new
Abstract: The rise of unmanned “dark factories” operating without human presence demands autonomous safety systems capable of detecting and responding to multiple hazard types. We present SafeGuard ASF (Agentic …
arXiv:2603.16861v2 Announce Type: replace
Abstract: A prevailing view in robot learning is that simulation alone is not enough; effective sim-to-real transfer is widely believed to require at least some real-world data collection or task-specific fine…
arXiv:2603.25298v1 Announce Type: new
Abstract: The objective of constrained motion planning is to connect start and goal configurations while satisfying task-specific constraints. Motion planning becomes inefficient or infeasible when the configurati…