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20242026
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cs.RO2026

Scaling Nonlinear Optimization: Many Problems One GPU

John Viljoen, Johanna Haffner, Masayoshi Tomizuka +1

Many robotics problems, including trajectory optimization, inverse kinematics, and contact-rich motion planning, reduce to nonlinear programs (NLPs). Mature NLP solvers such as IPO…

cs.RO2026

TEXEDO : Test Time Scaling for Controller-aware Language-conditioned Humanoid Motion Generation

Jianuo Cao, Yuxin Chen, Yuzhen Song +3

Text-conditioned motion generation is a promising interface for programming humanoid robots, yet current generators are often trained on human motion datasets retargeted to robot m…

cs.RO2026

CLAW: Composable Language-Annotated Whole-body Motion Generation

Jianuo Cao, Yuxin Chen, Masayoshi Tomizuka

Training language-conditioned whole-body controllers for humanoid robots demands large-scale motion-language datasets. Existing approaches based on motion capture are costly and li…

cs.RO2026

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors

Pengcheng Wang, Kaiwen Hong, Chensheng Peng +4

Unlike chatbots, physical AI must act while the world keeps evolving. Therefore, the inter-chunk pause of synchronous executors are fatal for dynamic tasks regardless of how fast t…

cs.RO2026

Multi-Camera View Scaling for Data-Efficient Robot Imitation Learning

Yichen Xie, Yixiao Wang, Shuqi Zhao +4

The generalization ability of imitation learning policies for robotic manipulation is fundamentally constrained by the diversity of expert demonstrations, while collecting demonstr…

cs.RO2026

Adaptive Linear Path Model-Based Diffusion

Yutaka Shimizu, Masayoshi Tomizuka

The interest in combining model-based control approaches with diffusion models has been growing. Although we have seen many impressive robotic control results in difficult tasks, t…

cs.RO2024

Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach

John Viljoen, Wenceslao Shaw Cortez, Jan Drgona +3

Model Predictive Control (MPC) is effective at generating safe control strategies in constrained scenarios, at the cost of computational complexity. This is especially the case in…