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Guan Rong Tant

dblp:274/9333 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0009-0002-6973-1840ORCID · reported

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.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 62% Human-robot interaction · 19% Haptics and multimodal interaction · 19%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptic rendering
force rendering
0.112020
Bump'em: an Open-Source, Bump-Emulation System for Studying Human Balance and Gait · ICRA 2020
Human-robot interaction
physical human-robot interaction
0.112020
Bump'em: an Open-Source, Bump-Emulation System for Studying Human Balance and Gait · ICRA 2020

Methods — techniques the papers use, named apart from their topics

rope-driven actuation · 0.4open-loop force control · 0.4closed-loop force control · 0.4
YearPublicationVenuePosition
2020 Bump'em: an Open-Source, Bump-Emulation System for Studying Human Balance and Gait
abstract
Fall-related injury is a significant health problem on a global scale and is expected to grow with the aging population. Laboratory-based perturbation systems have the capability of simulating various modes of fall-inducing perturbations in a repeatable way. These systems enable fundamental research on human gait and balance and facilitate the development of devices to assist human balance. We present a robotic, rope-driven system capable of rendering bumps and force-fields at a person's pelvis in any direction in the transverse plane with forces up to 200 N, and a 90% rise time of as little as 44 ms, which is faster than a human's ability to sense and respond to the force. These capabilities enable experiments that require stabilizing or destabilizing subjects as they stand or walk on a treadmill. To facilitate use by researchers from all backgrounds, we designed both a configuration with simpler open-loop force control, and another with higher-performance, closed-loop force control. Both configurations are modular, and the open-loop system is made entirely from 3D-printed and catalog components. The design files and assembly instructions for both are freely available in an online repository.
Guan Rong Tant, Michael Raitor, Steven H. Collins
ICRA1