arXiv
Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-Manipulation
Multi-objective reinforcement learning for humanoid robots must coordinate locomotion and manipulati...
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arXiv
Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering
Vision-Language-Action (VLA) models provide a natural language interface to robot control, but the m...
arXiv
Mechanisms of Misgeneralization in Physical Sequence Modeling
Generative sequence models are often trained to plan motion in physical domains, from robotics to me...
arXiv
TOPPO: Eleştirel Dengeleme ile Çok Görevli Takviyeli Öğrenim için PPO’yu Yeniden Düşünmek
Soft Actor-Critic (SAC) ve çeşitleri, politika dışı örnek verimliliği nedeniyle Çok Görevli Güçlendi...
arXiv
ProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries
In human-robot interaction, agentic robots should resolve ambiguous user requests through proactive ...
arXiv
Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation
Learning generalist policies capable of accomplishing a wide range of everyday tasks remains an open...
arXiv
DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation
Manipulating dynamic objects remains an open challenge for Vision-Language-Action (VLA) models.
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025, pp. 4240-4247
Quaternion Approximate Networks for Enhanced Image Classification and Oriented Object Detection
This paper introduces Quaternion Approximate Networks (QUAN), a novel deep learning framework that l...
IEEE International Conference on Robotics and Automation (ICRA) 2023
Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion
Robotic locomotion is often approached with the goal of maximizing robustness and reactivity by incr...