28 citations · 97 across the 49 of their papers we have counts for
6 papers · 1 filter
Reactive Navigation Framework for Mobile Robots by Heuristically Evaluated Pre-sampled Trajectories
Neşet Ünver Akmandor, Taşkın Padır
This paper describes and analyzes a reactive navigation framework for mobile robots in unknown environments. The approach does not rely on a global map and only considers the local…
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato +1
State-of-the-art human-in-the-loop robot grasping is hugely suffered by Electromyography (EMG) inference robustness issues. As a workaround, researchers have been looking into inte…
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control
Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif +8
Objective: For transradial amputees, robotic prosthetic hands promise to regain the capability to perform daily living activities. Current control methods based on physiological si…
From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels
Mo Han, Sezen Ya{ğ}mur Günay, İlkay Yıldız +5
Limb deficiency severely affects the daily lives of amputees and drives efforts to provide functional robotic prosthetic hands to compensate this deprivation. Convolutional neural…
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands
Mo Han, Sezen Ya{ğ}mur Günay, Gunar Schirner +2
Upper limb and hand functionality is critical to many activities of daily living and the amputation of one can lead to significant functionality loss for individuals. From this per…
Affordance-Based Mobile Robot Navigation Among Movable Obstacles
Maozhen Wang, Rui Luo, Aykut Ozgun Onol +1
Avoiding obstacles in the perceived world has been the classical approach to autonomous mobile robot navigation. However, this usually leads to unnatural and inefficient motions th…