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Marc Carmichael

5 accepted papers

2024

Fitness Activity Recognition Using a Novel Pressure Sensing Mat and Machine Learning for the Future of Accessible Training

IJCAI 2024poster

Physical inactivity is still a major problem contributing to a growing public health crisis despite a fast-expanding body of technological solutions and wellness research around fitness training. The inaccessibility of professional fitness training remains a leading cause of this gap for reasons enc…

Cited by 0SourcePDFScholar
2024

Towards Robot to Human Skill Coaching: A ML-powered IoT and HRI Platform for Martial Arts Training

ICRA 2024poster

Advances in human sensing and machine learning are paving the way for new applications of robotics in sports and fitness, making skill coaching smarter, easier and more accessible. Physical and social human robot interaction in particular has received special attention as a feedback mechanism for hu…

Cited by 0SourceScholar
2021

Prediction-Error Negativity to Assess Singularity Avoidance Strategies in Physical Human-Robot Collaboration

ICRA 2021poster

In physical human-robot collaboration (pHRC), singularity avoidance strategies are often critical to obtain stable interaction dynamics. It is hypothesised a predictable singularity avoidance strategy is preferred in pHRC as humans tend to maximise predictability when using complex systems. By using…

Cited by 7SourceScholar
2019

Effect of Mechanical Resistance on Cognitive Conflict in Physical Human-Robot Collaboration

ICRA 2019poster

Physical Human-Robot Collaboration (pHRC) is about the interaction between one or more human operator(s) and one or more robot(s) in direct contact and voluntarily exchanging forces to accomplish a common task. In any pHRC, the intuitiveness of the interaction has always been a priority, so that the…

Cited by 25SourceScholar
2016

Kinematic control of an Autonomous Underwater Vehicle-Manipulator System (AUVMS) using autoregressive prediction of vehicle motion and Model Predictive Control

ICRA 2016

Autonomous Underwater Vehicle-Manipulator Systems (AUVMS) operating in shallow waters or near-surface environments may be exposed to wave disturbances which will cause undesired motion of the end effector. This paper presents a method to maneuver the manipulator joints and counteract undesired motio

Cited by 18SourceScholar