6 papers · 1 filter
HumAIN: Human-Aware Implicit Social Robot Navigation
Daeun Song, Nhat Le, Jeffrey Chen +7
Effective social robot navigation requires sensitivity to human behavior, often revealed through subtle skeletal cues like gait and orientation. We present Human-Aware Implicit Soc…
Vision-Language Models for Deployable Social Robot Navigation: Bridging Semantic Reasoning and Low-Level Control
Runji Cai, Toshihiko Yamasaki, Ling Xiao
Social robot navigation (SRN) requires more than geometric path planning; it demands understanding human intentions, social norms, and contextual cues to generate socially complian…
E-SocialNav: Efficient Socially Compliant Navigation with Language Models
Ling Xiao, Daeun Song, Xuesu Xiao +1
Language models (LMs) are increasingly applied to robotic navigation; however, existing benchmarks primarily emphasize navigation success rates while paying limited attention to so…
Enhancing Lightweight Vision Language Models through Group Competitive Learning for Socially Compliant Navigation
Xinyu Zhang, Atsushi Konno, Toshihiko Yamasaki +1
Social robot navigation requires a sophisticated integration of scene semantics and human social norms. Scaling up Vision Language Models (VLMs) generally improves reasoning and de…
LLM-Advisor: An LLM Advisor for Cost-efficient Path Planning across Multiple Terrains
Ling Xiao, Toshihiko Yamasaki
This paper addresses fixed-graph terrain-aware path refinement, in which a global planner is restricted to a predefined route space and may remain optimal within that space while m…
Probing Prompt Design for Socially Compliant Robot Navigation with Vision Language Models
Ling Xiao, Toshihiko Yamasaki
Language models are increasingly used for social robot navigation, yet existing benchmarks largely overlook principled prompt design for socially compliant behavior. This limitatio…