6 accepted papers
This paper presents a distributed pursuit frame-work for environments with obstacles considering state measurement uncertainty. Our framework consists of two primary components: the computation of safe pursuit regions based on Voronoi cell (VC) and the solution of an adaptive robust path controller
In Federated Learning (FL), the decentralized nature of client training introduces vulnerabilities, notably backdoor attacks. Prevailing anomaly detection approaches typically perform binary classification, dividing clients into trusted and untrusted groups. However, these methods face two critical
This letter presents a topology-accelerated and robust pursuit framework for environments with obstacles considering state measurement uncertainty. Our framework consists of three primary components: the selection of virtual target points using topological heuristic method to encourage path diversit
Existing knowledge distillation methods typically work by imparting the knowledge of output logits or intermediate feature maps from the teacher network to the student network, which is very successful in multi-class single-label learning. However, these methods can hardly be extended to the multi-l…
The flexible manipulators and related robotic systems have been widely used in minimally invasive surgery (MIS) for enhancing the intraoperative inspection and surgical operation. Although a variety of flexible manipulators using different mechanisms have been developed, most of them are rigid mecha
Soft robotic technologies offer a promising solution for unconstructed applications due to their complete softness, robustness, and flexibility. In this letter, we explore the design and modularization of the flexible pneumatic robotic actuators for applying in minimally invasive surgery or other co