activity
20172026
most citedPredicting shim gaps in aircraft assembly with machine learning and sparse sensing

80 citations · 173 across the 29 of their papers we have counts for

collaborators

29 papers

cs.AI2026

Towards Trustworthy Physical Intelligence: From Theory to Practice Across Life Cycle

Wang Yang, Yang Wang, Hongxuan Liu +45

Physical intelligence refers to intelligence systems that understand, reason about, and act in accordance with the physical world and its underlying laws, dynamics, and constraints…

cs.RO2026

Mapping-Guided Task Discovery and Allocation for Robotic Inspection of Underwater Structures

Marina Ruediger, Ashis G. Banerjee

Task generation for underwater multi-robot inspections without prior knowledge of existing geometry can be achieved and optimized through examination of simultaneous localization a…

cs.LG2025

Online Kernel Dynamic Mode Decomposition for Streaming Time Series Forecasting with Adaptive Windowing

Christopher Salazar, Krithika Manohar, Ashis G. Banerjee

Real-time forecasting from streaming data poses critical challenges: handling non-stationary dynamics, operating under strict computational limits, and adapting rapidly without cat…

cs.RO2025

Simulated Annealing for Multi-Robot Ergodic Information Acquisition Using Graph-Based Discretization

Benjamin Wong, Aaron Weber, Mohamed M. Safwat +2

One of the goals of active information acquisition using multi-robot teams is to keep the relative uncertainty in each region at the same level to maintain identical acquisition qu…

cs.CV2025

Color-Pair Guided Robust Zero-Shot 6D Pose Estimation and Tracking of Cluttered Objects on Edge Devices

Xingjian Yang, Ashis G. Banerjee

Robust 6D pose estimation of novel objects under challenging illumination remains a significant challenge, often requiring a trade-off between accurate initial pose estimation and…

cs.RO2025

Rapidly Converging Time-Discounted Ergodicity on Graphs for Active Inspection of Confined Spaces

Benjamin Wong, Ryan H. Lee, Tyler M. Paine +2

Ergodic exploration has spawned a lot of interest in mobile robotics due to its ability to design time trajectories that match desired spatial coverage statistics. However, current…