Junhong Xu

Reinforcement Learning in Robotics Robotic Path Planning Algorithms Bayesian Modeling and Causal Inference Autonomous Vehicle Technology and Safety Video Surveillance and Tracking Methods

Publications

Citations

474

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 1990

Research summary

AI-generated

Junhong Xu works on decision-making and planning for autonomous robots, developing mathematical methods that help robots navigate and act reliably in uncertain, changing environments such as rough or unstructured terrain. Recent work combines these planning methods with machine learning techniques like diffusion models to transfer skills learned in simulation to real-world robots. Earlier projects also touched on sensing and classification tasks using radar and camera data.

Robot motion planning under uncertaintyMarkov decision processes and value function approximationAutonomous navigation on unstructured terrainSimulation-to-real policy transferSensing and machine learning for perception

Publication activity was fairly steady from 2017 to 2020, dipped substantially around 2021-2023, and picked up again in 2024-2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.0/year recently

Recent publications

Searching in Space and Time: Unified Memory-Action Loops for Open-World Object Retrieval
arXiv (Cornell University) · 2025
ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real
arXiv (Cornell University) · 2025
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning
arXiv (Cornell University) · 2024
Boundary-aware value function generation for safe stochastic motion planning
The International Journal of Robotics Research · 2024
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains
The International Journal of Robotics Research · 2024
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation
arXiv (Cornell University) · 2024
Intelligent Dimensional Big Data Closed-Loop Quality Solution
Lecture notes in electrical engineering · 2022
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles
arXiv (Cornell University) · 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
arXiv (Cornell University) · 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
2020
State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning
IEEE Robotics and Automation Letters · 2020
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles
2020
Water quality assessment of the river network in Wenzhou city using PCA-BP neural network model
IOP Conference Series Earth and Environmental Science · 2020
State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning
arXiv (Cornell University) · 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability
arXiv (Cornell University) · 2019

Publishes in

arXiv (Cornell University)×11
The International Journal of Robotics Research×2
2018 International Conference on Computing, Networking and Communications (ICNC)×2
IEEE Robotics and Automation Letters×2
IEEE Internet of Things Journal×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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