1 citations · 1 across the 5 of their papers we have counts for
5 papers
Automated Curriculum Design for High-dimensional Human Motor Learning
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
Designing effective practice schedules for high-dimensional motor learning tasks remains a challenge, especially when skill states are unobservable and task performance may not ref…
Skill-informed Data-driven Haptic Nudges for High-dimensional Human Motor Learning
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
In this work, we propose a data-driven framework to design optimal haptic nudge feedback leveraging the learner's estimated skill to address the challenge of learning a novel motor…
Modeling Human Strategy for Flattening Wrinkled Cloth Using Neural Networks
Nilay Kant, Ashrut Aryal, Rajiv Ranganathan +2
This paper explores a novel approach to model strategies for flattening wrinkled cloth learning from humans. A human participant study was conducted where the participants were pre…
Human Motor Learning Dynamics in High-dimensional Tasks
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
Conventional approaches to enhancing movement coordination, such as providing instructions and visual feedback, are often inadequate in complex motor tasks with multiple degrees of…
Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
Designing effective rehabilitation strategies for upper extremities, particularly hands and fingers, warrants the need for a computational model of human motor learning. The presen…