Demo Data from SIGIR 2026 / reviewers in the wild / expert
Wenlan Shen
dblp:397/2454
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—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 2021Human-computer interaction and ubiquitous computing · 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% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 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
dual-arm manipulation |
0.9 | 1 | 2025 | Tactile-Based Dual-Arm Manipulation with Physical Human-Robot Interaction · HRI 2025 |
Robotics › Robot manipulation › grasping
grasp control |
0.9 | 1 | 2025 | Tactile-Based Dual-Arm Manipulation with Physical Human-Robot Interaction · HRI 2025 |
Human-robot interaction
physical human-robot interaction |
0.9 | 1 | 2025 | Tactile-Based Dual-Arm Manipulation with Physical Human-Robot Interaction · HRI 2025 |
Human-robot interaction › physical human-robot interaction
tactile interaction |
0.9 | 1 | 2025 | Tactile-Based Dual-Arm Manipulation with Physical Human-Robot Interaction · HRI 2025 |
Methods — techniques the papers use, named apart from their topics
wrench control · 1.7robotic skin · 1.7impedance control · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Tactile-Based Dual-Arm Manipulation with Physical Human-Robot InteractionabstractThis paper presents a system integrating physical human-robot interaction in a dual-arm object manipulation task using multi-modal robot skin. The skin covers the end-effectors, enabling distance and active force control for aligning and grasping unknown objects, and extends over the entire arms, allowing multi-contact interaction by a user to guide the manipulation motion. Additionally, the skin patches on the non-contact area of the end-effectors function as tactile buttons, with gestures like short taps or long presses designed to switch control objectives. The system integrates two main controllers: a direct wrench controller regulating the grasp force and a Cartesian impedance controller governing the end-effector motion. Interaction wrenches on the arm patches are projected into the end-effector frame or object frame for pre-grasp adjustments or generating manipulation motion. Our method is validated on a dual-arm mobile manipulator equipped with robotic skin, demonstrating smooth motion in response to tactile interaction while consistently maintaining a stable grasp. The system's robustness enables it to handle objects of various geometries without prior knowledge. The system's capability is further highlighted through a practical application where, with human guidance, the robot successfully hangs a toolbox on two nails. Wenlan Shen, Simon Armleder, Gordon Cheng |
HRI | 1 |