2 citations · 2 across the 5 of their papers we have counts for
5 papers
Multi-robot Learning-based Informative Path Planning Using Spatio-Temporal Gaussian Process Kalman Filter
Muqing Cao, Yunwoo Lee, Junbin Yuan +2
Multi-robot informative path planning (IPP) for persistent target monitoring requires robots to reason about spatial uncertainty, temporal evolution, and practical sensing and comm…
SCOPE: Field-of-View-Aware Path Planning in Unknown Space via Safety-Volume Certification
Junbin Yuan, Muqing Cao, Yunwoo Lee +2
Safe navigation with a body-mounted limited-field-of-view sensor requires the complete robot-inflated volume of an intended motion to be observed and verified free before execution…
Learning Energy-Efficient Air--Ground Actuation for Hybrid Robots on Stair-Like Terrain
Jiaxing Li, Wen Tian, Ishaan Bhimwal +5
Hybrid aerial--ground robots can use thrust to cross obstacles that impede wheel-driven motion, but deciding how much thrust to apply during contact remains challenging. We present…
Hierarchical Planning for Long-Horizon Multi-Target Tracking Under Target Motion Uncertainty
Junbin Yuan, Brady Moon, Muqing Cao +1
Achieving persistent tracking of multiple dynamic targets over a large spatial area poses significant challenges for a single-robot system with constrained sensing capabilities. As…
IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning
Brady Moon, Nayana Suvarna, Andrew Jong +4
Planning paths that maximize information gain for robotic platforms has wide-ranging applications and significant potential impact. To effectively adapt to real-time data collectio…