376 citations
- Imperial College LondonGB17 papers
- Carnegie Mellon UniversityUS1 paper
- Centre de Recherche en InformatiqueFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Goldsmiths University of LondonGB1 paper
- Indonesian Institute of SciencesID1 paper
- Laboratoire des signaux et systèmesFR1 paper
- London Rebuilding SocietyGB1 paper
- Loughborough UniversityGB1 paper
- Maison des Sciences sociales et des Humanités - Lyon St-ÉtienneFR1 paper
- Microsoft Research (United Kingdom)GB1 paper
- Surrey and Borders Partnership NHS Foundation TrustGB1 paper
6 papers · 1 filter
Malleable Robots: Reconfigurable Robotic Arms with Continuum Links of Variable Stiffness
Angus B. Clark, Nicolas Rojas
Through the implementation of reconfigurability to achieve flexibility and adaptation to tasks by morphology changes rather than by increasing the number of joints, malleable robot…
Stiffness-Tuneable Limb Segment with Flexible Spine for Malleable Robots
Angus B. Clark, Nicolas Rojas
Robotic arms built from stiffness-adjustable, continuously bending segments serially connected with revolute joints have the ability to change their mechanical architecture and wor…
A Data-Efficient Model-Based Learning Framework for the Closed-Loop Control of Continuum Robots
Xinran Wang, Nicolas Rojas
Traditional dynamic models of continuum robots are in general computationally expensive and not suitable for real-time control. Recent approaches using learning-based methods to ap…
Design and Workspace Characterisation of Malleable Robots
Angus B. Clark, Nicolas Rojas
For the majority of tasks performed by traditional serial robot arms, such as bin picking or pick and place, only two or three degrees of freedom (DOF) are required for motion; how…
ResQbot: A Mobile Rescue Robot with Immersive Teleperception for Casualty Extraction
Roni Permana Saputra, Petar Kormushev
In this work, we propose a novel mobile rescue robot equipped with an immersive stereoscopic teleperception and a teleoperation control. This robot is designed with the capability…
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty
Edward Johns, Stefan Leutenegger, Andrew J. Davison
This paper presents a new method for parallel-jaw grasping of isolated objects from depth images, under large gripper pose uncertainty. Whilst most approaches aim to predict the si…