We had three papers accepted at ICRA2023 SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion, by Julen Urain De Jesus, Niklas Wilhelm Funk, Jan Peters, Georgia Chalvatzaki Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction, by Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, JanContinue reading “Three papers accepted at ICRA2023!”
Category Archives: Papers
Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction
Regularized Deep Signed Distance Fields for Reactive Motion Generation
Authors: Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters and Georgia Chalvatzaki Abstract Autonomous robots should operate in real-world dynamic environments and collaborate with humans in tight spaces. A key component for allowing robots to leave structured lab and manufacturing settings is their ability to evaluate online and real-time collisions with the worldContinue reading “Regularized Deep Signed Distance Fields for Reactive Motion Generation”
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
Authors: Snehal Jauhri, Jan Peters and Georgia Chalvatzaki Technical Talk, RAL + IROS 2022 (Best Paper Award for Mobile Manipulation) Our Contributions Boosted Hybrid RL Simulated tasks for 6D Reaching & Fetching The agent learns progressively more challenging tasks and combines each of the learned behaviors: 6D_Reach_1m task The agent needs to reach a 6DContinue reading “Robot Learning of Mobile Manipulation with Reachability Behavior Priors”
3 papers accepted to ICRA 2021!
Three papers got accepted in ICRA2021, whose topics will be directly extended in the context of the iROSA project. Accepted papers: Tosatto, S.; Chalvatzaki, G.; Peters, J. (2021). Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). See Details BibTeX Reference Li, Q.; Chalvatzaki, G.; Peters, J.;Continue reading “3 papers accepted to ICRA 2021!”
Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation
Abstract: Inherent morphological characteristics in objects may offer a wide range of plausible grasping orientations that obfuscates the visual learning of robotic grasping. Existing grasp generation approaches are cursed to construct discontinuous grasp maps by aggregating annotations for drastically different orientations per grasping point. Moreover, current methods generate grasp candidates across a single direction inContinue reading “Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation”
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