6 papers · 1 filter
Communication-Efficient Relative Pose Estimation with Vision Foundation Models for Ephemeral Collaborative Perception
Qihang Li, Jo-Hao Huang, Jiewen Liu +3
Relative pose estimation is a fundamental capability for collaborative perception and coordination in multi-robot systems. However, robots encountering each other in real-world env…
Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
Hong Huang, Dongkuan Xu, Hao Zhang +1
Egocentric pose estimation is a fundamental capability for multi-robot collaborative perception in connected autonomy, such as connected autonomous vehicles. During multi-robot ope…
Bandwidth-Adaptive Spatiotemporal Correspondence Identification for Collaborative Perception
Peng Gao, Williard Joshua Jose, Hao Zhang
Correspondence identification (CoID) is an essential capability in multi-robot collaborative perception, which enables a group of robots to consistently refer to the same objects w…
Coordinated Multi-Robot Navigation with Formation Adaptation
Zihao Deng, Peng Gao, Williard Joshua Jose +4
Coordinated multi-robot navigation is an essential ability for a team of robots operating in diverse environments. Robot teams often need to maintain specific formations, such as w…
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction
Peng Gao, Ahmed Jaafar, Brian Reily +2
Language-enabled robots have been widely studied over the past years to enable natural human-robot interaction and teaming in various real-world applications. Language-enabled robo…
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
Peng Gao, Brian Reily, Rui Guo +3
Collaborative localization is an essential capability for a team of robots such as connected vehicles to collaboratively estimate object locations from multiple perspectives with r…