53 citations · 78 across the 6 of their papers we have counts for
6 papers
WarpMPC: Large-Batch MPC on GPU via ADMM with Unrolled Factorization
Henrik Hose, Se Hwan Jeon, Charles Khazoom +2
This paper introduces numerical optimizations for maximizing throughput on GPU when solving large batches (10,000 to over 100,000) of sequential quadratic programming (SQP) iterati…
CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal Control
Se Hwan Jeon, Seungwoo Hong, Ho Jae Lee +2
The parallelism afforded by GPUs presents significant advantages in training controllers through reinforcement learning (RL). However, integrating model-based optimization into thi…
Tailoring Solution Accuracy for Fast Whole-body Model Predictive Control of Legged Robots
Charles Khazoom, Seungwoo Hong, Matthew Chignoli +2
Thanks to recent advancements in accelerating non-linear model predictive control (NMPC), it is now feasible to deploy whole-body NMPC at real-time rates for humanoid robots. Howev…
Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom +1
The main challenge in developing effective reinforcement learning (RL) pipelines is often the design and tuning the reward functions. Well-designed shaping reward can lead to signi…
Humanoid Self-Collision Avoidance Using Whole-Body Control with Control Barrier Functions
Charles Khazoom, Daniel Gonzalez-Diaz, Yanran Ding +1
This work combines control barrier functions (CBFs) with a whole-body controller to enable self-collision avoidance for the MIT Humanoid. Existing reactive controllers for self-col…
Orientation-Aware Model Predictive Control with Footstep Adaptation for Dynamic Humanoid Walking
Yanran Ding, Charles Khazoom, Matthew Chignoli +1
This paper proposes a novel orientation-aware model predictive control (MPC) for dynamic humanoid walking that can plan footstep locations online. Instead of a point-mass model, th…