28 citations · 72 across the 8 of their papers we have counts for
17 papers
Tactile Pose Estimation and Policy Learning for Unknown Object Manipulation
Tarik Kelestemur, Robert Platt, Taskin Padir
Object pose estimation methods allow finding locations of objects in unstructured environments. This is a highly desired skill for autonomous robot manipulation as robots need to e…
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…
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…