Parallel mechanisms are used increasingly often as modular subsystem units in various robots and man-machine interfaces for their superior stiffness, payload-to-weight ratio and …
Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a major goal in robotics. However, many existing robotic platforms are either designed for …
Optimising mechanical, control and actuator design variables together as a co-design problem enables identifying novel and better-performing robot architectures. Typically …
Historically, robots first found application in factories and plants. Until recently, the most noticeable examples of robot systems directly sold to the consumer were limited to …
This article addresses the concurrency issues affecting behavior trees (BTs), a popular tool to model the behaviors of autonomous agents in the video game and the robotics industry …
Long-term motor deficits affect approximately two thirds of stroke survivors, reducing their quality of life. An effective rehabilitation therapy requires intense and repetitive training …
Object detection is a fundamental ability for robots interacting within an environment. While stunningly effective, state-of-the-art deep learning methods require huge amounts of labeled …
In this paper, we propose Belief Behavior Trees (BBTs), an extension to Behavior Trees (BTs) that allows to automatically create a policy that controls a robot in partially observable …
P Chevalier, D Ghiglino, F Floris, T Priolo… - Frontiers in Robotics …, 2022 - frontiersin.org
In this paper, we investigate the impact of sensory sensitivity during robot-assisted training for children diagnosed with Autism Spectrum Disorder (ASD). Indeed, user-adaptation for …