Ashley Kleinhans
Ashley Kleinhans
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Serendipitous offline learning in a neuromorphic robot
TC Stewart, A Kleinhans, A Mundy, J Conradt
Frontiers in neurorobotics 10, 1, 2016
Closed-loop neuromorphic benchmarks
TC Stewart, T DeWolf, A Kleinhans, C Eliasmith
Frontiers in neuroscience 9, 464, 2015
Capsule networks with max-min normalization
Z Zhao, A Kleinhans, G Sandhu, I Patel, KP Unnikrishnan
arXiv preprint arXiv:1903.09662, 2019
G3DB: A database of successful and failed grasps with RGB-D images, point clouds, mesh models and gripper parameters
A Kleinhans, BS Rosman, M Michalik, B Tripp, R Detry
ICRA 2015, 2015
Modeling the shape hierarchy for visually guided grasping
O Rezai, A Kleinhans, E Matallanas, B Selby, BP Tripp
Frontiers in computational neuroscience 8, 132, 2014
Modelling primate control of grasping for robotics applications
A Kleinhans, S Thill, B Rosman, R Detry, B Tripp
European Conference on Computer Vision, 438-447, 2014
A computational model of the anterior intraparietal area
O Rezai, A Kleinhans, E Matallanas, B Selby, B Tripp
Proceedings of the 10th Bernstein Conference, 88-89, 2014
CHAMP: A bespoke integrated system for mobile manipulation
B Van Eden, BS Rosman, DJ Withey, T Ratshidaho, M Keaikitse, D Masha, ...
RobMech, 2014
Vehicle capsule networks
Z Zhao, K Unnikrishnan, AN Kleinhans, G Sandhu, I Patel, BR Goodman
US Patent App. 16/268,697, 2020
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients
Z Zhao, A Kleinhans, G Sandhu, I Patel, KP Unnikrishnan
arXiv preprint arXiv:1904.07304, 2019
Robotic Grasping Inspired by Neuroscience Using Tools Developed for Deep Learning
A Kleinhans, D Sabatta, B Tripp, B Rosman, A Nel
University of Johannesburg, 2018
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