:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Brunzema, Paul, Lew, Thomas, Zhang, Ray, Shirasawa, Takeru, Subosits, John, Greiff, Marcus
Format:	Preprint
Published:	2026
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2601.09178
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semantic Property Maps for Driving Applications
by: Greiff, Marcus, et al.
Published: (2025)

Risk-Averse Model Predictive Control for Racing in Adverse Conditions
by: Lew, Thomas, et al.
Published: (2024)

Dynamic Association of Semantics and Parameter Estimates by Filtering
by: Greiff, Marcus, et al.
Published: (2026)

First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling
by: Davydov, Alexander, et al.
Published: (2024)

Differentiable Model Predictive Control on the GPU
by: Adabag, Emre, et al.
Published: (2025)

Solving Quadratic Programs with Slack Variables via ADMM without Increasing the Problem Size
by: Lew, Thomas, et al.
Published: (2025)

Bayesian Optimization via Continual Variational Last Layer Training
by: Brunzema, Paul, et al.
Published: (2024)

Boundary Sampling to Learn Predictive Safety Filters via Pontryagin's Maximum Principle
by: Dallas, James, et al.
Published: (2026)

Towards an Autonomous Test Driver: High-Performance Driver Modeling via Reinforcement Learning
by: Subosits, John, et al.
Published: (2024)

The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning
by: Hose, Henrik, et al.
Published: (2026)

Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
by: Hose, Henrik, et al.
Published: (2025)

Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies
by: Djeumou, Franck, et al.
Published: (2024)

Rough Stochastic Pontryagin Maximum Principle and an Indirect Shooting Method
by: Lew, Thomas
Published: (2025)

Variational Bayesian Last Layers
by: Harrison, James, et al.
Published: (2024)

Spatial Envelope MPC: High Performance Driving without a Reference
by: Yu, Siyuan, et al.
Published: (2025)

BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
by: Brunzema, Paul, et al.
Published: (2026)

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
by: Zhang, Rongyu, et al.
Published: (2025)

Safe and Steerable Geometric Motion Policies for Robotic Dexterous Manipulation
by: Wu, Albert, et al.
Published: (2026)

Finite-Time Control Based on Differential Flatness for Wheeled Mobile Robots with Experimental Validation
by: Rehman, Imtiaz Ur, et al.
Published: (2025)

Speed Optimization Algorithm based on Deterministic Markov Decision Process for Automated Highway Merge
by: Goto, Takeru, et al.
Published: (2025)

Design of Reward Function on Reinforcement Learning for Automated Driving
by: Goto, Takeru, et al.
Published: (2025)

Bi-AQUA: Bilateral Control-Based Imitation Learning for Underwater Robot Arms via Lighting-Aware Action Chunking with Transformers
by: Tsunoori, Takeru, et al.
Published: (2025)

Habilis-$β$: A Fast-Motion and Long-Lasting On-Device Vision-Language-Action Model
by: Robotics, Tommoro, et al.
Published: (2026)

Conditional Variational Auto Encoder Based Dynamic Motion for Multi-task Imitation Learning
by: Xu, Binzhao, et al.
Published: (2024)

Convex Hulls of Reachable Sets
by: Lew, Thomas, et al.
Published: (2023)

HELM: Human-Preferred Exploration with Language Models
by: Liao, Shuhao, et al.
Published: (2025)

Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate Motions
by: Aizu, Tomoharu, et al.
Published: (2025)

DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation
by: Yang, Zebin, et al.
Published: (2026)

About an Automating Annotation Method for Robot Markers
by: Uemura, Wataru, et al.
Published: (2026)

Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding
by: Oba, Takeru, et al.
Published: (2023)

Cyber Racing Coach: A Haptic Shared Control Framework for Teaching Advanced Driving Skills
by: Shen, Congkai, et al.
Published: (2025)

Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path Planning
by: Kiessling, Alexander, et al.
Published: (2024)

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills
by: Xiao, Siyao, et al.
Published: (2026)

Health-Conditioned Vision-Language-Action Models for Malfunction-Aware Robot Control
by: Arslan, Hüseyin, et al.
Published: (2026)

Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach
by: Tsuchiya, Yuki, et al.
Published: (2024)

DARE: Diffusion Policy for Autonomous Robot Exploration
by: Cao, Yuhong, et al.
Published: (2024)

AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
by: Lew, Jeric, et al.
Published: (2025)

Exp-Force: Experience-Conditioned Pre-Grasp Force Selection with Vision-Language Models
by: Shang, Siqi, et al.
Published: (2026)

Vision-based Tactile Image Generation via Contact Condition-guided Diffusion Model
by: Lin, Xi, et al.
Published: (2024)

Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks
by: Sonker, Rohit, et al.
Published: (2025)