activity
20182021
most citedINTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

354 citations · 371 across the 16 of their papers we have counts for

collaborators

21 papers

cs.AI20211 cited

Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data

Ran Tian, Masayoshi Tomizuka, Liting Sun

Reward function, as an incentive representation that recognizes humans' agency and rationalizes humans' actions, is particularly appealing for modeling human behavior in human-robo…

cs.RO2021

Diverse Critical Interaction Generation for Planning and Planner Evaluation

Zhao-Heng Yin, Lingfeng Sun, Liting Sun +2

Generating diverse and comprehensive interacting agents to evaluate the decision-making modules is essential for the safe and robust planning of autonomous vehicles~(AV). Due to ef…

cs.RO20211 cited

Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks

Xiang Zhang, Liting Sun, Zhian Kuang +1

Many manipulation tasks require robots to interact with unknown environments. In such applications, the ability to adapt the impedance according to different task phases and enviro…

eess.SY20211 cited

Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems

Zhian Kuang, Liting Sun, Huijun Gao +1

In this paper, a practical fractional-order variable-gain super-twisting algorithm (PFVSTA) is proposed to improve the tracking performance of wafer stages for semiconductor manufa…

cs.RO2021

Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators

Zhian Kuang, Xiang Zhang, Liting Sun +2

The precise motion control of a multi-degree of freedom~(DOF) robot manipulator is always challenging due to its nonlinear dynamics, disturbances, and uncertainties. Because most m…

eess.SY2021

Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm

Zhian Kuang, Liting Sun, Huijun Gao +1

To obtain precise motion control of wafer stages, an adaptive neural network and fractional-order super-twisting control strategy is proposed. Based on sliding mode control (SMC),…