activity
20222024
most citedTime-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments

Zhaohan Feng, Jie Chen, Wei Xiao +3

In recent years, drones have found increased applications in a wide array of real-world tasks. Model predictive control (MPC) has emerged as a practical method for drone flight con…

cs.RO2023

Learning Agility and Adaptive Legged Locomotion via Curricular Hindsight Reinforcement Learning

Sicen Li, Yiming Pang, Panju Bai +5

Agile and adaptive maneuvers such as fall recovery, high-speed turning, and sprinting in the wild are challenging for legged systems. We propose a Curricular Hindsight Reinforcemen…

eess.SY2023

Robust consensus control of second-order uncertain multiagent systems with velocity and input constraints (extended version)

Gang Wang, Zongyu Zuo, Chaoli Wang

In this paper, we investigate the consensus problem of second-order multiagent systems under directed graphs. Simple yet robust consensus algorithms that advance existing achieveme…

cs.RO20231 cited

Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors

Boyuan Deng, Jian Sun, Zhuo Li +1

Continuous trajectory tracking control of quadrotors is complicated when considering noise from the environment. Due to the difficulty in modeling the environmental dynamics, track…

eess.SY2022

Data-driven Self-triggered Control via Trajectory Prediction

Wenjie Liu, Jian Sun, Gang Wang +2

Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity. However, ex…