A5093299978- Robot Manipulation and Learning
- AI-based Problem Solving and Planning
- Stroke Rehabilitation and Recovery
- Human Pose and Action Recognition
- Shoulder Injury and Treatment
- Automotive and Human Injury Biomechanics
- Knee injuries and reconstruction techniques
- Musculoskeletal pain and rehabilitation
- Balance, Gait, and Falls Prevention
- Transportation Safety and Impact Analysis
University of Pennsylvania
2023
K.N.Toosi University of Technology
2016
Lower extremity injuries are frequently observed in car-to-pedestrian accidents and due to the bumper height of most cars, knee joint is one damaged body parts collisions.The aim this paper first provide an accurate Finite Element model second investigate lower limb impact biomechanics predict effect parameters such as collision speed car on injuries, especially soft tissues ligaments, cartilages menisci.In analytical study, a 3D finite element (FE) human developed based anatomy. The...
Constraint-aware estimation of human intent is essential for robots to physically collaborate and interact with humans. Further, achieve fluid collaboration in dynamic tasks should be achieved real-time. In this paper, we present a framework that combines online control facilitate interpreting intentions, dynamically adjust their actions assist object co-manipulation while considering both robot constraints. Central our approach the adoption Dynamic Systems (DS) model represent intent. Such...
A realistic human kinematic model that satisfies anatomical constraints is essential for human-robot interaction, biomechanics and robot-assisted rehabilitation. Modeling joint constraints, however, challenging as arm motion constrained by limits, inter- intra-joint dependencies, self-collisions, individual capabilities muscular or neurological which are difficult to represent. Hence, physicians researchers have relied on simple box-constraints, ignoring important factors. In this paper, we...
A realistic human kinematic model that satisfies anatomical constraints is essential for human-robot interaction, biomechanics and robot-assisted rehabilitation. Modeling joint constraints, however, challenging as arm motion constrained by limits, inter- intra-joint dependencies, self-collisions, individual capabilities muscular or neurological which are difficult to represent. Hence, physicians researchers have relied on simple box-constraints, ignoring important factors. In this paper, we...