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Continual Imitation Learning for Prosthetic Limbs
Lower limb amputations and neuromuscular impairments severely restrict mobility, necessitating advancements beyond conventional prosthetics.
Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming
Mobility impairment caused by limb loss is a significant challenge faced by millions of individuals worldwide.
Computer Vision for Primate Behavior Analysis in the Wild
With this perspective paper, we want to contribute towards closing this gap, by guiding behavioral scientists in what can be expected from current methods and steering computer vision researchers towards problems that are relevant to advance research in animal behavior.
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain
Typically, this depends on a semantic understanding which is based on supervised learning from images annotated by a human expert.
Learning a Shared Model for Motorized Prosthetic Joints to Predict Ankle-Joint Motion
Control strategies for active prostheses or orthoses use sensor inputs to recognize the user's locomotive intention and generate corresponding control commands for producing the desired locomotion.
Learning Risk-aware Costmaps for Traversability in Challenging Environments
One of the main challenges in autonomous robotic exploration and navigation in unknown and unstructured environments is determining where the robot can or cannot safely move.
