Demo Data from VLDB 2026 / reviewers in the wild / expert
A. Varadharajan
dblp:324/6269
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-9484-5511ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
robot actuation |
0.6 | 1 | 2022 | R2poweR: The Proof-of-Concept of a Backdrivable, High-Ratio Gearbox for Human-Robot Collaboration · ICRA 2022 |
Human-robot interaction › physical human-robot interaction
physical human-robot collaboration |
0.2 | 1 | 2022 | R2poweR: The Proof-of-Concept of a Backdrivable, High-Ratio Gearbox for Human-Robot Collaboration · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
prototype testing · 1.1proof-of-concept prototyping · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | R2poweR: The Proof-of-Concept of a Backdrivable, High-Ratio Gearbox for Human-Robot CollaborationabstractRobotic engineers face major challenges to solve the complex actuation needs of Human-Robot Collaboration with existing act robotic gearboxes. Available technologies comprise high-ratio Planetary Gearheads, Cycloid Drives and Harmonic Drives, inherited from conventional industrial robotics. Alternative approaches include Direct-Drive and Quasi Direct-Drive actuation strategies, which propose to cancel or substantially reduce gear ratio, in order to minimize reflected inertia and attain enough backdrivability for collaborative tasks. This paper presents the proof-of-concept validation of a novel high-ratio, Wolfrom-based, gearbox technology that follows a different approach to attain the same objective. Testing five different gearbox prototypes, we confirm the ability of the R2poweR technology to improve efficiency and backdrivability while retaining the weight and control advantages derived from the use of high reduction ratios. The result is a highly efficient, backdrivable, high-ratio gearbox with exciting Huma-Robot Collaboration potential. Pablo López-García, Stein Crispel, A. Varadharajan, Elias Saerens, Tom Verstraten, Bram Vanderborght, Dirk Lefeber |
ICRA | 3 |