Jana Egli

dblp:376/2989 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
dexterous manipulation
0.812024
Sensorized Soft Skin for Dexterous Robotic Hands · ICRA 2024
Robotics › Robot manipulation
tactile sensing
0.812024
Sensorized Soft Skin for Dexterous Robotic Hands · ICRA 2024
Robotics › Robot manipulation
robotic hand design
0.212024
Sensorized Soft Skin for Dexterous Robotic Hands · ICRA 2024
Robotics › Robot manipulation › soft robotics
soft robotic skin
0.212024
Sensorized Soft Skin for Dexterous Robotic Hands · ICRA 2024

Methods — techniques the papers use, named apart from their topics

piezoresistive sensing · 0.8multi-material 3d printing · 0.8
YearPublicationVenuePosition
2024 Sensorized Soft Skin for Dexterous Robotic Hands
abstract
Conventional industrial robots often use two-fingered grippers or suction cups to manipulate objects or interact with the world. Because of their simplified design, they are unable to reproduce the dexterity of human hands when manipulating a wide range of objects. While the control of humanoid hands evolved greatly, hardware platforms still lack capabilities, particularly in tactile sensing and providing soft contact surfaces. In this work, we present a method that equips the skeleton of a tendon-driven humanoid hand with a soft and sensorized tactile skin. Multi-material 3D printing allows us to iteratively approach a cast skin design which preserves the robot’s dexterity in terms of range of motion and speed. We demonstrate that a soft skin enables firmer grasps and piezoresistive sensor integration enhances the hand’s tactile sensing capabilities.
Jana Egli, Benedek Forrai, Thomas Buchner, Jiangtao Su, Robert K. Katzschmann
ICRA1