159 citations · 492 across the 75 of their papers we have counts for
8 papers · 1 filter
Safe Adaptation with Multiplicative Uncertainties Using Robust Safe Set Algorithm
Charles Noren, Weiye Zhao, Changliu Liu
Maintaining safety under adaptation has long been considered to be an important capability for autonomous systems. As these systems estimate and change the ego-model of the system…
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy
Abulikemu Abuduweili, Changliu Liu
High fidelity behavior prediction of intelligent agents is critical in many applications. However, the prediction model trained on the training set may not generalize to the testin…
Deadlock Analysis and Resolution in Multi-Robot Systems (Extended Version)
Jaskaran Grover, Changliu Liu, Katia Sycara
Collision avoidance for multirobot systems is a well studied problem. Recently, control barrier functions (CBFs) have been proposed for synthesizing controllers guarantee collision…
Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration
Abulikemu Abuduweili, Siyan Li, Changliu Liu
To engender safe and efficient human-robot collaboration, it is critical to generate high-fidelity predictions of human behavior. The challenges in making accurate predictions lie…
Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions
Tianhao Wei, Changliu Liu
Safe autonomy is important in many application domains, especially for applications involving interactions with humans. Existing safe control algorithms are similar to one another…
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu +3
Recent developments in multi-agent imitation learning have shown promising results for modeling the behavior of human drivers. However, it is challenging to capture emergent traffi…
Algorithms for Verifying Deep Neural Networks
Changliu Liu, Tomer Arnon, Christopher Lazarus +3
Deep neural networks are widely used for nonlinear function approximation with applications ranging from computer vision to control. Although these networks involve the composition…
Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction
Yujiao Cheng, Liting Sun, Changliu Liu +1
Human robot collaboration (HRC) is becoming increasingly important as the paradigm of manufacturing is shifting from mass production to mass customization. The introduction of HRC…