EDBT 2026 Demo / reviewers in the wild / expert
Pei-Hsin Kuo
dblp:164/8523
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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
grasping |
0.2 | 1 | 2015 | Design of robotic fingers with human-like passive parallel compliance · ICRA 2015 |
Robotics › Robot manipulation › compliant manipulation
passive compliance |
0.2 | 1 | 2015 | Design of robotic fingers with human-like passive parallel compliance · ICRA 2015 |
Robotics › Robot manipulation
robotic hand design |
0.2 | 1 | 2015 | Design of robotic fingers with human-like passive parallel compliance · ICRA 2015 |
Robotics › Robot manipulation › cable-driven robot
tendon-driven manipulation |
0.1 | 1 | 2015 | Design of robotic fingers with human-like passive parallel compliance · ICRA 2015 |
Methods — techniques the papers use, named apart from their topics
motion capture · 0.2compliant joint optimization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Design of robotic fingers with human-like passive parallel complianceabstractWhile human-like series passive compliance has been used in previous robotic hand designs, little attention has been paid to parallel passive compliance due to the lack of understanding of its importance in grasping and manipulation. In this paper, we present a novel design of compliant finger inspired by biomechanical features and functionality of human hands. We develop a human-like compact joint by optimizing the geometry of a compliant material and mechanical elements. The joint exhibits a passive double exponential torque matching human-like compliance. We implement the compliant joint into a robotic finger design with human-like tendon routings. We carry out a series of experiments on the finger design with an open-loop control strategy in grasping and manipulation. The results show that the fingers perform reliable grasping and manipulation without feedback. We validate the trajectory tracking with a motion capture system. The human-like compliant fingers follow the desired trajectories with small errors (less than 1 cm). The innovative finger design realizes the human-like hand passive properties and achieves human-like grasping capability. Pei-Hsin Kuo, James DeBacker, Ashish D. Deshpande |
ICRA | 1 |