EDBT 2026 Demo / reviewers in the wild / expert
Jiangtao Su
dblp:212/2497
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
dexterous manipulation |
0.8 | 1 | 2024 | Sensorized Soft Skin for Dexterous Robotic Hands · ICRA 2024 |
Robotics › Robot manipulation
tactile sensing |
0.8 | 1 | 2024 | Sensorized Soft Skin for Dexterous Robotic Hands · ICRA 2024 |
Robotics › Robot manipulation
robotic hand design |
0.2 | 1 | 2024 | Sensorized Soft Skin for Dexterous Robotic Hands · ICRA 2024 |
Robotics › Robot manipulation › soft robotics
soft robotic skin |
0.2 | 1 | 2024 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Broadband Microfluidic Coplanar Waveguide Biosensor for Position-Dependent Cell Detection
Liangzun Fu, Xiwei Huang, Jiangtao Su, Lingling Sun |
ISCAS | 4 |
| 2024 | Sensorized Soft Skin for Dexterous Robotic HandsabstractConventional 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 |
ICRA | 4 |