Both CNN-based and Transformer-based object detection with bounding box
...
Reinforcement learning (RL) is an effective approach to motion planning ...
In this paper, we propose a novel framework using formal methods to
synt...
In this paper, we study bearing equivalence in directed graphs. We first...
This note presents several conditions to characterize real matrix simila...
This paper focuses on the motion planning for mobile robots in 3D, which...
Electrical grids are large-sized complex systems that require strong
com...
This note presents a summary and review of various conditions and
charac...
We propose coordinating guiding vector fields to achieve two tasks
simul...
Learning with sparse rewards is usually inefficient in Reinforcement Lea...
We consider the problem of cooperative motion coordination for multiple
...
In this paper we consider distributed adaptive stabilization for uncerta...
It is essential in many applications to impose a scalable coordinated mo...
This paper concentrates on the collaborative target tracking control of ...
Efficient and effective learning is one of the ultimate goals of the dee...
This paper addresses forward motion control for trajectory tracking and
...
This paper discusses cooperative stabilization control of rigid formatio...
Controlled invariant set and viability regulation of dynamical control
s...
This paper considers a collaborative tracking control problem using a gr...