A Glimpse into Long-term Physical Coexistence with Intelligent Robots
arXiv:2607. 11377v1 Announce Type: cross Abstract: Long-term physical coexistence with intelligent robots requires more than capable robot policies.
The thesis "Robotic Contextual Awareness for Human-Robot Collaboration and Environmental Understanding" addresses the challenge of enabling autonomous mobile robots to operate safely in dynamic, human-centric environments by developing advanced contextual awareness. It presents two complementary research directions: (1) a human re-identification and tracking system that allows a robot to recognize and collaborate with a specific person while ignoring others, and (2) enhanced perceptual capabilities that provide geometric and semantic understanding of the environment for improved motion planning and interaction. These contributions aim to improve robots’ knowledge of their surroundings, facilitating smoother and more natural collaboration with humans.
arXiv:2607. 11377v1 Announce Type: cross Abstract: Long-term physical coexistence with intelligent robots requires more than capable robot policies.
Long-term physical coexistence with intelligent robots requires more than capable robot policies. A persistent robotic assistant must support diverse user-facing interfaces, maintain long-horizon memory of people and preferences, coordinate across robot embodiments, and translate human intent into safe physical execution.
HINT-Plan is a new method that integrates human intention prediction into robot task planning by using Vision Language Models to infer high‑level human intentions from third‑person images. These intentions are converted into goal states and combined with hierarchical Scene Graphs to formulate joint task‑planning problems in context‑rich environments. In a photorealistic simulation, HINT-Plan achieved a 69.71% success rate, outperforming baselines by up to 35.29% and reducing functional conflicts.
arXiv:2609.25351v1 Announce Type: cross Abstract: We focus on human-robot collaborative transport, a challenging task of broad relevance spanning logistics, manufacturing, and the home, in which a us...
We focus on human-robot collaborative transport, a challenging task of broad relevance spanning logistics, manufacturing, and the home, in which a user and a robot work together to relocate a large or...
arXiv:2609.27816v1 Announce Type: cross Abstract: Safe coordination in heterogeneous machine-to-machine (M2M) robotic systems is challenging when robots differ in sensing capabilities, environmental...
arXiv:2609.40245v2 Announce Type: cross Abstract: Robot navigation in dynamic, human-centered environments requires socially-compliant decisions grounded in robust scene understanding. Recent Vision-...
arXiv:2503. 22122v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) have demonstrated remarkable capabilities in robotic planning, particularly for long-horizon tasks that require a holistic understanding of the environment for task decomposition.
arXiv:2607. 07357v1 Announce Type: cross Abstract: Effective social robot navigation requires sensitivity to human behavior, often revealed through subtle skeletal cues like gait and orientation.
arXiv:2607. 13624v1 Announce Type: cross Abstract: Natural language interaction provides an intuitive way for non-expert users to communicate with robotic platforms.
arXiv:2607. 10991v1 Announce Type: cross Abstract: As mobile robots become more integrated into everyday human environments, social robot navigation is becoming essential for ensuring human comfort, safety, and trust.
arXiv:2606. 12603v1 Announce Type: cross Abstract: Autonomous long-horizon sidewalk navigation is essential for micro-mobility applications such as robotic food delivery and assistive electronic wheelchairs.