1.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of BristolGB236 papers
- University of OxfordGB60 papers
- Centre National de la Recherche ScientifiqueFR53 papers
- University of GroningenNL51 papers
- École Polytechnique Fédérale de LausanneCH44 papers
- University of Hawaii SystemUS41 papers
- University of TurinIT41 papers
- Université Paris CitéFR39 papers
- CEA Paris-SaclayFR38 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR38 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FerraraIT37 papers
- University of CambridgeGB37 papers
35 papers · 1 filter
Assessing VLM-Driven Semantic-Affordance Inference for Non-Humanoid Robot Morphologies
Jess Jones, Raul Santos-Rodriguez, Sabine Hauert
Vision-language models (VLMs) have demonstrated remarkable capabilities in understanding human-object interactions, but their application to robotic systems with non-humanoid morph…
NeuralTouch: Neural Descriptors for Precise Sim-to-Real Tactile Robot Control
Yijiong Lin, Bowen Deng, Keju Pu +4
Grasping accuracy is a critical prerequisite for precise object manipulation, often requiring careful alignment between the robot hand and object. Neural Descriptor Fields (NDF) of…
Practical Handling of Dynamic Environments in Decentralised Multi-Robot Patrol
James C. Ward, Arthur Richards, Edmund R. Hunt
Persistent monitoring using robot teams is of interest in fields such as security, environmental monitoring, and disaster recovery. Performing such monitoring in a fully on-line de…
Classification of Vision-Based Tactile Sensors: A Review
Haoran Li, Yijiong Lin, Chenghua Lu +3
Vision-based tactile sensors (VBTS) have gained widespread application in robotic hands, grippers and prosthetics due to their high spatial resolution, low manufacturing costs, and…
TacPalm: A Soft Gripper with a Biomimetic Optical Tactile Palm for Stable Precise Grasping
Xuyang Zhang, Tianqi Yang, Dandan Zhang +1
Manipulating fragile objects in environments such as homes and factories requires stable and gentle grasping along with precise and safe placement. Compared to traditional rigid gr…
The Ballad of the Bots: Sonification Using Cognitive Metaphor to Support Immersed Teleoperation of Robot Teams
Joe Simmons, Paul Bremner, Thomas J Mitchell +2
As an embodied and spatial medium, virtual reality is proving an attractive proposition for robot teleoperation in hazardous environments. This paper examines a nuclear decommissio…
Robot-Assisted Deep Venous Thrombosis Ultrasound Examination using Virtual Fixture
Dianye Huang, Chenguang Yang, Mingchuan Zhou +3
Deep Venous Thrombosis (DVT) is a common vascular disease with blood clots inside deep veins, which may block blood flow or even cause a life-threatening pulmonary embolism. A typi…
Learning effects in variable autonomy human-robot systems: how much training is enough?
Manolis Chiou, Mohammed Talha, Rustam Stolkin
This paper investigates learning effects and human operator training practices in variable autonomy robotic systems. These factors are known to affect performance of a human-robot…
TIMS: A Tactile Internet-Based Micromanipulation System with Haptic Guidance for Surgical Training
Jialin Lin, Xiaoqing Guo, Wen Fan +6
Microsurgery involves the dexterous manipulation of delicate tissue or fragile structures such as small blood vessels, nerves, etc., under a microscope. To address the limitation o…
A Taxonomy of Semantic Information in Robot-Assisted Disaster Response
Tianshu Ruan, Hao Wang, Rustam Stolkin +1
This paper proposes a taxonomy of semantic information in robot-assisted disaster response. Robots are increasingly being used in hazardous environment industries and emergency res…
DigiTac: A DIGIT-TacTip Hybrid Tactile Sensor for Comparing Low-Cost High-Resolution Robot Touch
Nathan F. Lepora, Yijiong Lin, Ben Money-Coomes +1
Deep learning combined with high-resolution tactile sensing could lead to highly capable dexterous robots. However, progress is slow because of the specialist equipment and experti…
BRL/Pisa/IIT SoftHand: A Low-cost, 3D-Printed, Underactuated, Tendon-Driven Hand with Soft and Adaptive Synergies
Haoran Li, Christopher J. Ford, Matteo Bianchi +3
This paper introduces the BRL/Pisa/IIT (BPI) SoftHand: a single actuator-driven, low-cost, 3D-printed, tendon-driven, underactuated robot hand that can be used to perform a range o…
Artificial SA-I, RA-I and RA-II/Vibrotactile Afferents for Tactile Sensing of Texture
Nicholas Pestell, Nathan F. Lepora
Robot touch can benefit from how humans perceive tactile textural information, from the stimulation mode to which tactile channels respond, then the tactile cues and encoding. Usin…
Human operator cognitive availability aware Mixed-Initiative control
Giannis Petousakis, Manolis Chiou, Grigoris Nikolaou +1
This paper presents a Cognitive Availability Aware Mixed-Initiative Controller for remotely operated mobile robots. The controller enables dynamic switching between different level…
Artificial SA-I and RA-I Afferents for Tactile Sensing of Ridges and Gratings
Nicholas Pestell, Thom Griffith, Nathan F. Lepora
For robot touch to converge with the human sense of touch, artificial transduction should involve biologically-plausible population codes analogous to those of natural afferents. U…
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
Antonio Andriella, Alessandra Rossi, Silvia Rossi +1
The aim of this workshop is to give researchers from academia and industry the possibility to discuss the inter-and multi-disciplinary nature of the relationships between people an…
On Determinism of Game Engines used for Simulation-based Autonomous Vehicle Verification
Greg Chance, Abanoub Ghobrial, Kevin McAreavey +3
Game engines are increasingly used as simulation platforms by the autonomous vehicle (AV) community to develop vehicle control systems and test environments. A key requirement for…
VFH+ based shared control for remotely operated mobile robots
Pantelis Pappas, Manolis Chiou, Georgios-Theofanis Epsimos +2
This paper addresses the problem of safe and efficient navigation in remotely controlled robots operating in hazardous and unstructured environments; or conducting other remote rob…
Spatio-temporal encoding improves neuromorphic tactile texture classification
Anupam K. Gupta, Andrei Nakagawa, Nathan F. Lepora +1
With the increase in interest in deployment of robots in unstructured environments to work alongside humans, the development of human-like sense of touch for robots becomes importa…
Agile Reactive Navigation for A Non-Holonomic Mobile Robot Using A Pixel Processor Array
Yanan Liu, Laurie Bose, Colin Greatwood +6
This paper presents an agile reactive navigation strategy for driving a non-holonomic ground vehicle around a preset course of gates in a cluttered environment using a low-cost pro…
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
Alex Church, John Lloyd, Raia Hadsell +1
Artificial touch would seem well-suited for Reinforcement Learning (RL), since both paradigms rely on interaction with an environment. Here we propose a new environment and set of…
Formalizing and Guaranteeing* Human-Robot Interaction
Hadas Kress-Gazit, Kerstin Eder, Guy Hoffman +12
Robot capabilities are maturing across domains, from self-driving cars, to bipeds and drones. As a result, robots will soon no longer be confined to safety-controlled industrial se…
Estimation and Exploitation of Objects' Inertial Parameters in Robotic Grasping and Manipulation: A Survey
Nikos Mavrakis, Rustam Stolkin
Inertial parameters characterise an object's motion under applied forces, and can provide strong priors for planning and control of robotic actions to manipulate the object. Howeve…
Maximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces
T. Pardi, V. Ortenzi, C. Fairbairn +3
This paper presents a method for constrained motion planning from vision, which enables a robot to move its end-effector over an observed surface, given start and destination point…