3 citations · 4 across the 8 of their papers we have counts for
8 papers
Fairness risk and its privacy-enabled solution in AI-driven robotic applications
Le Liu, Bangguo Yu, Nynke Vellinga +1
Complex decision-making by autonomous machines and algorithms could underpin the foundations of future society. Generative AI is emerging as a powerful engine for such transitions.…
REASAN: Learning Reactive Safe Navigation for Legged Robots
Qihao Yuan, Ziyu Cao, Ming Cao +1
We present a novel modularized end-to-end framework for legged reactive navigation in complex dynamic environments using a single light detection and ranging (LiDAR) sensor. The sy…
EgoLCD: Egocentric Video Generation with Long Context Diffusion
Liuzhou Zhang, Jiarui Ye, Yuanlei Wang +6
Generating long, coherent egocentric videos is difficult, as hand-object interactions and procedural tasks require reliable long-term memory. Existing autoregressive models suffer…
World In Your Hands: A Large-Scale and Open-Source Ecosystem for Learning Human-Centric Manipulation in the Wild
Yupeng Zheng, Jichao Peng, Weize Li +22
We introduce World In Your Hands (WIYH), a large-scale open-source ecosystem comprising over 1,000 hours of human manipulation data collected in-the-wild with millimeter-scale moti…
GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models
Wenkang Ji, Huaben Chen, Mingyang Chen +6
The development of control policies for multi-robot systems traditionally follows a complex and labor-intensive process, often lacking the flexibility to adapt to dynamic tasks. Th…
VLN-Game: Vision-Language Equilibrium Search for Zero-Shot Semantic Navigation
Bangguo Yu, Yuzhen Liu, Lei Han +3
Following human instructions to explore and search for a specified target in an unfamiliar environment is a crucial skill for mobile service robots. Most of the previous works on o…
PANav: Toward Privacy-Aware Robot Navigation via Vision-Language Models
Bangguo Yu, Hamidreza Kasaei, Ming Cao
Navigating robots discreetly in human work environments while considering the possible privacy implications of robotic tasks presents significant challenges. Such scenarios are inc…
Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models
Bangguo Yu, Qihao Yuan, Kailai Li +2
Visual target navigation is a critical capability for autonomous robots operating in unknown environments, particularly in human-robot interaction scenarios. While classical and le…