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Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization
Data-Efficient and Safe Learning for Humanoid Locomotion Aided by a Dynamic Walking Model
Contact-Implicit Whole-Body Trajectory Optimization for Dynamic Humanoid Locomotion
Trajectory Optimization for a Running Humanoid
Whole-Body Trajectory Optimization for Robot Multimodal Locomotion
Introduction to Trajectory Optimization
MIT Humanoid Kong Trajectory Optimization
Robust Trajectory Optimization over Uncertain Terrain. --- RSS Workshop on Robust Autonomy
Generate, Track, Improve: Perceptive Multi-Skill Humanoid Locomotion with RL-Fine-Tuned Generators
Tutorial: Gait and Trajectory Optimization for Legged Robots
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Last Updated: October 1, 2026
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Summary
The main idea of this work is to In this AI Research Roundup episode, Alex discusses the paper: ' Slides, notes, assignments, code: irom-lab.princeton.edu/intro-to-robotics. Stepping strategy, including step time and step location modulation, and hip strategy, i.e., upper-bod movement, play crucial roles ... We formulate a novel Markov Decision Process for safe and data- Video for our IEEE Robotics and Automation Letters (RA-L) 2025 paper: "Contact-Implicit Whole-Body Final Project for MIT 6.832 - Underactuated Robotics. Preprint: arxiv.org/pdf/2211.12849.pdf Code: ... This video is an introduction to 6.8210 Underactuated Robotics Final Project In which we make a This work is led by Luke Drnach from the LIDAR group. We proposed a Generate, Track, Improve: Perceptive Multi-Skill Paper, video, open-source code, slides and more: awinkler.me Intro: 00:29 - Why Legged Robots? 01:15 - Context of ...
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