Hsiu-Chin Lin, McGill University

Research

grasping kinematics and dynamics learning from demonstration learning motion constraints manipulation model-based control parameter identification robot motion control

Latest papers

An Optimization-Based Locomotion Controller for Quadruped Robots Leveraging Cartesian Impedance Control.
Frontiers in robotics and AI · 2020

All 1 publications

Latest funding

ADVENTOR: Advanced Engineering and Training in Next-Generation Mobile Robotics for Human Spaces
NSERC · 2024 · Co-investigator
$150,000
Safe Learning for Bipedal Robot Locomotion
NSERC · 2024 · Principal investigator
$61,661
Self-supervised and Transfer Learning for Adaptive Motion Control
NSERC · 2020 · Principal investigator
$12,500

All 4 grants and awards

1 publications.

01

An Optimization-Based Locomotion Controller for Quadruped Robots Leveraging Cartesian Impedance Control.

Xin G, Wolfslag W, Lin HC, Tiseo C, Mistry M

Frontiers in robotics and AI2020

DOI: 10.3389/frobt.2020.00048 PMID: 33501216

ADVENTOR: Advanced Engineering and Training in Next-Generation Mobile Robotics for Human Spaces

Co-investigatorNSERC2024Collaborative Research and Training Experience

Principal investigators: Wu, Amy AR

Keywords: collaborative robots; human-robotic interaction; human studies; intelligent systems; mechatronics; mobile robotics; robot ethics; social robotics; technology and society; unstructured environments

$150,000

Safe Learning for Bipedal Robot Locomotion

Principal investigatorNSERC2024Research Tools and Instruments

Principal investigators: Lin, Hsiu-Chin

Keywords: Machine Learning; Motion Planning; Robotics; Safe Learning

$61,661

Self-supervised and Transfer Learning for Adaptive Motion Control

Principal investigatorNSERC2020Discovery Launch Supplement

Principal investigators: Lin, Hsiu-Chin

$12,500

Self-supervised and Transfer Learning for Adaptive Motion Control

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Lin, Hsiu-Chin

Keywords: robot motion control; model-based control; learning from demonstration; self-supervised learning; transfer learning; grasping; manipulation; kinematics and dynamics; parameter identification; learning motion constraints

$120,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

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Applying for

Mention their NSERC grant from 2024

Subject: Prospective PhD student: grasping Dear Professor Lin, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "An Optimization-Based Locomotion Controller for Quadruped Robots Leveraging Cartesian Impedance Control." (2020), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Safe Learning for Bipedal Robot Locomotion" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]