4 citations · 12 across the 9 of their papers we have counts for
8 papers · 1 filter
Mixline: A Hybrid Reinforcement Learning Framework for Long-horizon Bimanual Coffee Stirring Task
Zheng Sun, Zhiqi Wang, Junjia Liu +2
Bimanual activities like coffee stirring, which require coordination of dual arms, are common in daily life and intractable to learn by robots. Adopting reinforcement learning to l…
Towards Precise Pruning Points Detection using Semantic-Instance-Aware Plant Models for Grapevine Winter Pruning Automation
Miguel Fernandes, Antonello Scaldaferri, Paolo Guadagna +7
Grapevine winter pruning is a complex task, that requires skilled workers to execute it correctly. The complexity makes it time consuming. It is an operation that requires about 80…
Fusing Visuo-Tactile Perception into Kernelized Synergies for Robust Grasping and Fine Manipulation of Non-rigid Objects
Sunny Katyara, Nikhil Deshpande, Fanny Ficuciello +3
Handling non-rigid objects using robot hands necessities a framework that does not only incorporate human-level dexterity and cognition but also the multi-sensory information and s…
Whole-Body Control on Non-holonomic Mobile Manipulation for Grapevine Winter Pruning Automation
Tao Teng, Miguel Fernandes, Matteo Gatti +4
Mobile manipulators that combine mobility and manipulability, are increasingly being used for various unstructured application scenarios in the field, e.g. vineyards. Therefore, th…
Vision Based Adaptation to Kernelized Synergies for Human Inspired Robotic Manipulation
Sunny Katyara, Fanny Ficuciello, Fei Chen +2
Humans in contrast to robots are excellent in performing fine manipulation tasks owing to their remarkable dexterity and sensorimotor organization. Enabling robots to acquire such…
Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation
Sunny Katyara, Fanny Ficuciello, Darwin Caldwell +2
Manipulation in contrast to grasping is a trajectorial task that needs to use dexterous hands. Improving the dexterity of robot hands, increases the controller complexity and thus…