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Jean-Philippe Roberge

9 accepted papers

2023

StereoTac: A Novel Visuotactile Sensor That Combines Tactile Sensing With 3D Vision

RA-L 2023

Combining 3D vision with tactile sensing could unlock a greater level of dexterity for robots and improve several manipulation tasks. However, obtaining a close-up 3D view of the location where manipulation contacts occur can be challenging, particularly in confined spaces, cluttered environments, o

Cited by 32SourceScholar
2022

Going In Blind: Object Motion Classification using Distributed Tactile Sensing for Safe Reaching in Clutter

IROS 2022poster

Robotic manipulators navigating cluttered shelves or cabinets may find it challenging to avoid contact with obstacles. Indeed, rearranging obstacles may be necessary to access a target. Rather than planning explicit motions that place obstacles into a desired pose, we suggest allowing incidental con…

Cited by 6SourceScholar
2020

A Stretchable Capacitive Sensory Skin for Exploring Cluttered Environments

RA-L 2020

We present a design and fabrication method using low-cost materials for anew tactile sensor that is highly stretchable (up to 60%) and for which the signal is substantially unaffected by stretching, immersion in water, or electromagnetic noise. The sensor can be wrapped around the front, side and ba

Cited by 14SourceScholar
2018

An Extrinsic Dexterity Approach to the IROS 2018 Fan Robotic Challenge

IROS 2018poster

The 2018 IROS Fan Robotic Challenge tasked participants with programming a robot to autonomously open and close a Spanish folding fan, highlighting the obstacles still associated with the dexterous manipulation of objects for robotic systems. Since high DoFs grippers are complex to coordinate and ov…

Cited by 1SourceScholar
2018

Improving Industrial Grippers With Adhesion-Controlled Friction

RA-L 2018

Effective handling of delicate objects remains a challenging problem in manufacturing. Instead of using a specialized gripper or control scheme, we present a solution involving gecko-inspired directional adhesives affixed to an industrial robot gripper and tactile sensor. The adhesives sustain large

Cited by 38SourceScholar
2017

A highly sensitive multimodal capacitive tactile sensor

ICRA 2017poster

As technology develops, manufacture process becomes more and more automated using robots. There is demand for high performance tactile sensor which can support robotic grippers in manipulation tasks especially for unstructured flexible objects. Despite the efforts that have been spent, the fabricati…

Cited by 59SourceScholar
2017

Grasp stability assessment through unsupervised feature learning of tactile images

ICRA 2017poster

Grasping tasks have always been challenging for robots, despite recent innovations in vision-based algorithms and object-specific training. If robots are to match human abilities and learn to pick up never-before-seen objects, they must combine vision with tactile sensing. This paper present a novel…

Cited by 50SourceScholar
2016

Haptic feedback for improved robotic arm control during simple grasp, slippage, and contact detection tasks

ICRA 2016

This paper explores the use of haptic and visual feedback during routine object-manipulation tasks. We conducted tests of slippage detection, contact detection, and grasp control, with the help of twelve human participants. During the tests, the subjects controlled the robotic arm of a UR5 Universal

Cited by 21SourceScholar
2016

Unsupervised feature learning for classifying dynamic tactile events using sparse coding

ICRA 2016

Robotic operations that involve the displacement of objects generate different kinds of dynamic events. These may simply correspond to normal robot-related motion, or contact(s) with the object(s) during grasping, but they may also be potentially-problematic events like slippage. In this paper, we u

Cited by 33SourceScholar