3 citations · 4 across the 8 of their papers we have counts for
6 papers · 1 filter
Structured Multitask Gaussian Processes for Probabilistic Full-Body Human Motion Prediction
Jinger Chong, Xiaotong Zhang, Kamal Youcef-Toumi
Robots that share space with people need human motion predictions with reliable uncertainty, not just accurate means. This paper presents a structured multitask variational Gaussia…
Bayesian Intention for Enhanced Human Robot Collaboration
Vanessa Hernandez-Cruz, Xiaotong Zhang, Kamal Youcef-Toumi
Predicting human intent is challenging yet essential to achieving seamless Human-Robot Collaboration (HRC). Many existing approaches fail to fully exploit the inherent relationship…
Relevance-driven Decision Making for Safer and More Efficient Human Robot Collaboration
Xiaotong Zhang, Dingcheng Huang, Kamal Youcef-Toumi
Human brain possesses the ability to effectively focus on important environmental components, which enhances perception, learning, reasoning, and decision-making. Inspired by this…
Relevance for Human Robot Collaboration
Xiaotong Zhang, Dean Huang, Kamal Youcef-Toumi
Inspired by the human ability to selectively focus on relevant information, this paper introduces relevance, a novel dimensionality reduction process for human-robot collaboration…
How Does Perception Affect Safety: New Metrics and Strategy
Xiaotong Zhang, Jinger Chong, Kamal Youcef-Toumi
Perception serves as a critical component in the functionality of autonomous agents. However, the intricate relationship between perception metrics and robotic metrics remains uncl…
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction
Aadi Kothari, Tony Tohme, Xiaotong Zhang +1
Human motion prediction is an essential step for efficient and safe human-robot collaboration. Current methods either purely rely on representing the human joints in some form of n…