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Learning Task Constraints from Demonstration for Hybrid Force/Position Control
Constraint Style Learning from Imperfect Demonstrations under Task Optimality
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Learning to Plan for Constrained Manipulation from Demonstrations
Combining Imitation Learning With Constraint-based Task Specification and Control
Knowledge-Enabled Motion Generation for Complex Manipulation Tasks
Learning Constrained Generalizable Policies by Demonstration
Teaching contact-rich tasks from visual demonstrations by constraint extraction
Constraints and Planning for Forceful Robotic Manipulation (Rachel Holladay, MIT)
Learning From Demonstration
Kari Laasonen - DFT-Based Constrained MD Simulations of Hydrogen Evolution Activities on Pt(111)
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Last Updated: September 6, 2026
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Summary
gokul.dev/icl/ for more information. Full video: youtu.be/ZBFwe1gF0FU Research paper: arxiv.org/abs/1610.00673 Abstract: In principle, reinforcement ... Phd Dissertation Defense - Brendan Hertel Title: Segmentation, Encoding, Recall, Generalization, and Execution: A Framework ... This video shows highlights of our experiments from our Humanoids 2019 paper titled " CoRL 2025, Seoul, South Korea Webpage: sites.google.com/view/consmimic Paper: arxiv.org/abs/2507.09371v1 ... Authors: Norman Di Palo and Edward Johns Institution: The Robot In the first half of this video, the PR2 robot is taught how to manipulate various household objects (cabinets, a drawer, and a ... We present a knowledge-enabled approach to manipulation planning for complex manipulation Leopoldo Armesto, Vladimir Ivan, Joao Moura, Sethu Vijayakumar, Antonio Sala Many practical See related paper at: arxiv.org/abs/2303.17481. Abstract: Enabling robots to perform multi-stage forceful manipulation In this work at first, I recognize the object in the scene and estimate the 6 DOF pose of that. Then I track the object by using particle ... Recorded 15 September 2025. Kari Laasonen of Aalto University presents "DFT-Based
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