Marc Carmichael

发表

Upper limb strength estimation of physically impaired persons using a musculoskeletal model: A sensitivity analysis

Dikai Liu, Marc Carmichael, Marc G. Carmichael, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Chin-Teng Lin, Dikai Liu, Marc Carmichael, 2019, 2019 International Conference on Robotics and Automation (ICRA).

A framework for task-based evaluation of robotic coworkers

Dikai Liu, Marc Carmichael, Marc G. Carmichael, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

Admittance control scheme for implementing model-based assistance-as-needed on a robot

Dikai Liu, Marc Carmichael, Marc G. Carmichael, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Estimating Physical Assistance Need Using a Musculoskeletal Model

Dikai Liu, Marc Carmichael, Marc G. Carmichael, 2013, IEEE Transactions on Biomedical Engineering.

Investigation of reducing fatigue and musculoskeletal disorder with passive actuators

Dikai Liu, Kenneth J. Waldron, Marc Carmichael, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A task description model for robotic rehabilitation

Dikai Liu, Marc Carmichael, Marc G. Carmichael, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Human Biomechanical Model Based Optimal Design of Assistive Shoulder Exoskeleton

Dikai Liu, Marc Carmichael, 2013, FSR.

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

Dikai Liu, Marc Carmichael, Marc G. Carmichael, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Experimental evaluation of a model-based assistance-as-needed paradigm using an assistive robot

Dikai Liu, Marc Carmichael, Marc G. Carmichael, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Angled sensor configuration capable of measuring tri-axial forces for pHRI

Dikai Liu, Kenneth J. Waldron, Marc Carmichael, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

A multi-stage design framework for the development of task-specific robotic exoskeletons

Dikai Liu, Marc Carmichael, Richardo Khonasty, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

GAVRe2: Towards Data-Driven Upper-Limb Rehabilitation with Adaptive-Feedback Gamification

Gavin Paul, Marc Carmichael, Marc G. Carmichael, 2018, 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Towards using musculoskeletal models for intelligent control of physically assistive robots

Dikai Liu, Marc Carmichael, Marc G. Carmichael, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Human-robot collaboration for safe object transportation using force feedback

Jaime Valls Miró, Josep Tornero, Pau Muñoz-Benavent, 2018, Robotics Auton. Syst..

A framework for singularity-robust manipulator control during physical human-robot interaction

Dikai Liu, Kenneth J. Waldron, Marc Carmichael, 2017, Int. J. Robotics Res..

Preliminary Validation of Upper Limb Musculoskeletal Model using Static Optimization

Gavin Paul, Marc Carmichael, Sheila Sutjipto, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Dikai Liu, Yu-Kai Wang, Marc Carmichael, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Cartesian Inertia Optimization via Redundancy Resolution for Physical Human-Robot Interaction

Gavin Paul, Marc Carmichael, Sheila Sutjipto, 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).