12 accepted papers
Robots with active variable stiffness (VS) capabilities can potentially achieve safer interactions with humans and better adaptabilities to uncertainties in complex environments. Currently, the conventional jamming or phase-change-based VS mechanisms simultaneously act on the stiffnesses of the robo
Pouch motors continue to attract research attention owing to their simple fabrication process, low cost, and excellent energy density. Existing pouch motors based on the liquid-gas phase transition (LGPT) principle exhibit significant stroke and force outputs but suffer from slow responses. Pouch mo
Virtual reality (VR) technology has enormous applications in education, entertainment, and healthcare. Haptic feedback can significantly enhance the immersive experience in VR. However, most commercial hand/fingertip wearable VR haptic devices rely on bulky rigid structures, which are limited in the
Conflict-Based Search is one of the most popular methods for multi-agent path finding. Though it is complete and optimal, it does not scale well. Recent works have been proposed to accelerate it by introducing various heuristics. However, whether these heuristics can apply to non-grid-based problem…
We consider the problem of navigating a mobile robot towards a target in an unknown environment that is endowed with visual sensors, where neither the robot nor the sensors have access to global positioning information and only use first-person- view images. In order to overcome the need for positio…
In this letter, we propose a novel framework for tactile-based dexterous manipulation learning with a blind anthropomorphic robotic hand, i.e. without visual sensing. First, object-related states were extracted from the raw tactile signals by a graph-based perception model - TacGNN. The resulting ta
Graph Neural Networks (GNNs) are a paradigm-shifting neural architecture to facilitate the learning of complex multi-agent behaviors. Recent work has demonstrated remarkable performance in tasks such as flocking, multi-agent path planning and cooperative coverage. However, the policies derived throu…
Solutions to the Traveling Salesperson Problem (TSP) have practical applications to processes in transportation, logistics, and automation, yet must be computed with minimal delay to satisfy the real-time nature of the underlying tasks. However, solving large TSP instances quickly without sacrificin…
The domains of transport and logistics are increasingly relying on autonomous mobile robots for the handling and distribution of passengers or resources. At large system scales, finding decentralized path planning and coordination solutions is key to efficient system performance. Recently, Graph Neu
In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant is normally required to control the position and the zooming ratio of the laparoscope, following the surgeon’s instructions. However, moving the laparoscope frequently may lead to unstable and suboptimal views, while the adjust…
Effective communication is key to successful, decentralized, multi-robot path planning. Yet, it is far from obvious what information is crucial to the task at hand, and how and when it must be shared among robots. To side-step these issues and move beyond hand-crafted heuristics, we propose a combin…
Path planning for mobile robots in large dynamic environments is a challenging problem, as the robots are required to efficiently reach their given goals while simultaneously avoiding potential conflicts with other robots or dynamic objects. In the presence of dynamic obstacles, traditional solution