Zobrazeno 1 - 10
of 638
pro vyhledávání: '"Zhang, Qingrui"'
Numerous locomotion controllers have been designed based on Reinforcement Learning (RL) to facilitate blind quadrupedal locomotion traversing challenging terrains. Nevertheless, locomotion control is still a challenging task for quadruped robots trav
Externí odkaz:
http://arxiv.org/abs/2407.04224
It is promising but challenging to design flocking control for a robot swarm to autonomously follow changing patterns or shapes in a optimal distributed manner. The optimal flocking control with dynamic pattern formation is, therefore, investigated i
Externí odkaz:
http://arxiv.org/abs/2403.08434
Integrating rule-based policies into reinforcement learning promises to improve data efficiency and generalization in cooperative pursuit problems. However, most implementations do not properly distinguish the influence of neighboring robots in obser
Externí odkaz:
http://arxiv.org/abs/2310.15699
The Central Pattern Generator (CPG) is adept at generating rhythmic gait patterns characterized by consistent timing and adequate foot clearance. Yet, its open-loop configuration often compromises the system's control performance in response to envir
Externí odkaz:
http://arxiv.org/abs/2310.06606
In this paper, we investigate the problem of controlling multiple unmanned aerial vehicles (UAVs) to enclose a moving target in a distributed fashion based on a relative distance and self-displacement measurements. A relative localization technique i
Externí odkaz:
http://arxiv.org/abs/2307.15510
Motion planning is challenging for multiple robots in cluttered environments without communication, especially in view of real-time efficiency, motion safety, distributed computation, and trajectory optimality, etc. In this paper, a reinforced potent
Externí odkaz:
http://arxiv.org/abs/2307.14110
Motion planning is a crucial aspect of robot autonomy as it involves identifying a feasible motion path to a destination while taking into consideration various constraints, such as input, safety, and performance constraints, without violating either
Externí odkaz:
http://arxiv.org/abs/2306.07647
The distributed flocking control of collective aerial vehicles has extraordinary advantages in scalability and reliability, \emph{etc.} However, it is still challenging to design a reliable, efficient, and responsive flocking algorithm. In this paper
Externí odkaz:
http://arxiv.org/abs/2306.03505
Formulating expert policies as macro actions promises to alleviate the long-horizon issue via structured exploration and efficient credit assignment. However, traditional option-based multi-policy transfer methods suffer from inefficient exploration
Externí odkaz:
http://arxiv.org/abs/2212.03540
Autor:
Zhang, Qingrui
This is a brief tutorial on the least square estimation technique that is straightforward yet effective for parameter estimation. The tutorial is focused on the linear LSEs instead of nonlinear versions, since most nonlinear LSEs can be approximated
Externí odkaz:
http://arxiv.org/abs/2211.15347