Introduction of Learning Push Grasping In Dense Clutter
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Grasping in Clutter
Learning Physics Based Manipulation in Clutter
Oriented Push Grasping
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
Baxter Grasping in Clutter
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment (IROS 2019)
Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
Scalable and time-efficient robotic grasping of unknown objects in dense clutter
Learning Efficient Push and Grasp Policy in A Totebox from Simulation
Learning Collaborative Push and Grasp Policies in Dense Clutter, ICRA 2021.
Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter
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Last Updated: October 1, 2026
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Summary
IEEE Robotics and Automation Letters Authors: Marios Kiatos, Iason Sarantopoulos, Leonidas Koutras, Sotiris Malassiotis, Zoe ... M. Corsaro, S. Tellex, and G.D. Konidaris. Presented in IEEE International Conference on Robotics and Automation, Montreal Canada, May 20-24, 2019. Paper: ... Video accompaniment to our IROS 2021 paper: Baxter angles its arm and executes a linear Pixel-Attentive Policy Gradient for Multi-Fingered The paper was accepted for publication in the IEEE Transaction for Automation Science and Engineering (TASE), 2023. accepted by Advanced Robotics (SCI) Official supplementary Video for CoRL2023 paper "Language-guided Robot
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