50 citations · 54 across the 15 of their papers we have counts for
19 papers
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data
Junhong Xu, Kai Yin, Jason M. Gregory +1
Robot data collected in complex real-world scenarios are often biased due to safety concerns, human preferences, and mission or platform constraints. Consequently, robot learning f…
Decision-Making Among Bounded Rational Agents
Junhong Xu, Durgakant Pushp, Kai Yin +1
When robots share the same workspace with other intelligent agents (e.g., other robots or humans), they must be able to reason about the behaviors of their neighboring agents while…
UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation
Durgakant Pushp, Swapnil Kalhapure, Kaushik Das +1
We propose a novel hybrid system (both hardware and software) of an Unmanned Aerial Vehicle (UAV) carrying a miniature Unmanned Ground Vehicle (miniUGV) to perform a complex search…
AK: Attentive Kernel for Information Gathering
Weizhe Chen, Roni Khardon, Lantao Liu
Robotic Information Gathering (RIG) relies on the uncertainty of a probabilistic model to identify critical areas for efficient data collection. Gaussian processes (GPs) with stati…
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
Zheng Chen, Durgakant Pushp, Lantao Liu
Traversability prediction is a fundamental perception capability for autonomous navigation. The diversity of data in different domains imposes significant gaps to the prediction pe…
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning
Weizhe Chen, Lantao Liu
In many environmental monitoring scenarios, the sampling robot needs to simultaneously explore the environment and exploit features of interest with limited time. We present an any…