25 citations · 62 across the 28 of their papers we have counts for
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Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration
Parag Khanna, Elmira Yadollahi, Mårten Björkman +2
Despite significant improvements in robot capabilities, they are likely to fail in human-robot collaborative tasks due to high unpredictability in human environments and varying hu…
A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers
Parag Khanna, Mårten Björkman, Christian Smith
Handovers are basic yet sophisticated motor tasks performed seamlessly by humans. They are among the most common activities in our daily lives and social environments. This makes m…
User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks
Parag Khanna, Elmira Yadollahi, Mårten Björkman +2
Despite great advances in what robots can do, they still experience failures in human-robot collaborative tasks due to high randomness in unstructured human environments. Moreover,…
Data-driven Grip Force Variation in Robot-Human Handovers
Parag Khanna, Mårten Björkman, Christian Smith
Handovers frequently occur in our social environments, making it imperative for a collaborative robotic system to master the skill of handover. In this work, we aim to investigate…
Combining Planning and Learning of Behavior Trees for Robotic Assembly
Jonathan Styrud, Matteo Iovino, Mikael Norrlöf +2
Industrial robots can solve very complex tasks in controlled environments, but modern applications require robots able to operate in unpredictable surroundings as well. An increasi…
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh, Xi Chen, Petra Poklukar +3
Reinforcement learning methods can achieve significant performance but require a large amount of training data collected on the same robotic platform. A policy trained with expensi…