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Engineering  |  FURI

Jonathan Bush

Hometown: Vancouver, Washington | Graduation Date: Spring 2020
Engineering (robotics)

Bicycle Rider Pose Estimation from Physical Human-Robot Interaction Forces

Research Theme: Data
MORE: Spring 2020

Riding a bicycle requires simultaneous balance and navigation, which may be difficult or even impossible for persons with disabilities. This may be partly alleviated by providing active balance and steering assistance to the rider. To achieve this assistance while still providing free maneuverability, it is necessary to know the position and intent of the rider on the bicycle. A human-bicycle contact force sensing system was developed to collect real-world data in a motion capture environment. Applying the newly obtained force and motion data to existing human-bicycle interaction models will grant additional insight for developing a human-in-the loop bicycle control system.

Other Projects

Smart Bike Human-in-the-Loop Control

Research Theme: Data
FURI: Spring 2019

Bicycles are used for daily transportation by a large share of the world’s population; however, riding a bicycle may be inconvenient or impossible for persons with disabilities. The goal of the Smart Bike project is to provide a platform for studying the physical interaction between an autonomous bicycle and a human rider, with possible applications in autonomous bike-sharing and rehabilitation. A software and sensor system is developed to integrate input from three sources—the rider, the internal balance and steering controller, and a remote operator—to maintain reliable control of the bicycle under a variety of circumstances.

Smart Bike Human-in-the-Loop Control

Research Theme: Data
FURI: Fall 2018

Bicycles are used for daily transportation by a large share of the world’s population; however, riding a bicycle may be inconvenient or impossible for persons with disabilities. The goal of the Smart Bike project is to provide a platform for studying the physical interaction between an autonomous bicycle and a human rider, with possible applications in autonomous bike-sharing and rehabilitation. A software and sensor system is developed to integrate input from three sources—the rider, the internal balance and steering controller, and a remote operator—to maintain reliable control of the bicycle under a variety of circumstances.

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