Understanding Fast Manipulability Maximization Using Continuous Time Trajectory Optimization Iros 19
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Key Takeaways about Fast Manipulability Maximization Using Continuous Time Trajectory Optimization Iros 19
- Final project for Russ Tedrake's 6.843 in Fall 2021. Work done by Fischer Moseley and Daniel Adebi.
- We present a contact-implicit
- An experiment showing online replanning for collision avoidance. We show a real-world scenario where an obstacle is occluded ...
- Simulation vs. experimental results are demonstrated for three non-prehensile manipulation tasks of increasing complexity: (1) ...
- Published in
Detailed Analysis of Fast Manipulability Maximization Using Continuous Time Trajectory Optimization Iros 19
manipulability optimization ICRA2019 Planning IROS
ICRA 2021 presentation by Simon Schaefer - Leveraging Neural Network Gradients within
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