Demo Data from SIGIR 2026 / reviewers in the wild / expert
Cuthbert T. Sun
dblp:226/6232
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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.
| Human-computer interaction and pervasive computing
1 paper |
Haptics and multimodal interaction · 100% | |
| Artificial intelligence
1 paper |
Robot navigation and mapping · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction
haptic communication |
0.3 | 1 | 2018 | Avoiding Human-Robot Collisions Using Haptic Communication · ICRA 2018 |
Haptics and multimodal interaction
wearable haptic device |
0.3 | 1 | 2018 | Avoiding Human-Robot Collisions Using Haptic Communication · ICRA 2018 |
Robotics › Robot navigation and mapping
mobile robot navigation |
0.1 | 1 | 2018 | Avoiding Human-Robot Collisions Using Haptic Communication · ICRA 2018 |
Robotics › Robot navigation and mapping
social navigation |
0.1 | 1 | 2018 | Avoiding Human-Robot Collisions Using Haptic Communication · ICRA 2018 |
Methods — techniques the papers use, named apart from their topics
teleoperation · 0.7social force model · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Avoiding Human-Robot Collisions Using Haptic CommunicationabstractFully autonomous navigation in populated environments is still a challenging problem for mobile robots. This paper explores the idea of using active human-robot communication to facilitate navigation tasks. We propose to convey a robot's intent to human users via a wearable haptic interface. The interface can display distinct haptic cues by modulating vibration amplitudes and patterns. We applied the concept to a single human/single robot orthogonal encounter scenario, where one of the two parties has to yield the right of way to avoid collision. Under certain conditions, the robot's intent (to yield to the human or not) is revealed to the human via the haptic interface prior to the interaction. We conducted an experiment with 10 users, in which the robot was teleoperated as a substitute for autonomy. Results show that, when given priority, users become more risk-accepting and use different strategies to navigate the collision scenario than when the robot takes priority or there is no haptic communication channel. In addition, we propose a social-force based model to predict human movement during navigation. The effect of communication can be explained as a shift in the user's safety buffer and expectation of the robot's future velocity. Yuhang Che, Cuthbert T. Sun, Allison M. Okamura |
ICRA | 2 |