Saved in:
| Main Authors: | Xie, Lipei, Li, Yingxin, Zhuang, Huiping |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.09623 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
by: Tong, Kai, et al.
Published: (2025)
by: Tong, Kai, et al.
Published: (2025)
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
by: Zhuang, Huiping, et al.
Published: (2024)
by: Zhuang, Huiping, et al.
Published: (2024)
A Recursive Total Least Squares Solution for Bearing-Only Target Motion Analysis and Circumnavigation
by: Li, Lin, et al.
Published: (2025)
by: Li, Lin, et al.
Published: (2025)
A Residual Variance Matching Recursive Least Squares Filter for Real-time UAV Terrain Following
by: Wu, Xiaobo, et al.
Published: (2025)
by: Wu, Xiaobo, et al.
Published: (2025)
Embodied Navigation Foundation Model
by: Zhang, Jiazhao, et al.
Published: (2025)
by: Zhang, Jiazhao, et al.
Published: (2025)
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods
by: Lencione, Gabriel R., et al.
Published: (2023)
by: Lencione, Gabriel R., et al.
Published: (2023)
Grasp What You Want: Embodied Dexterous Grasping System Driven by Your Voice
by: Li, Junliang, et al.
Published: (2024)
by: Li, Junliang, et al.
Published: (2024)
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
by: Schroeder, Philip, et al.
Published: (2025)
by: Schroeder, Philip, et al.
Published: (2025)
A Hessian for Gaussian Mixture Likelihoods in Nonlinear Least Squares
by: Korotkine, Vassili, et al.
Published: (2024)
by: Korotkine, Vassili, et al.
Published: (2024)
Embodied Robot Manipulation in the Era of Foundation Models: Planning and Learning Perspectives
by: Bai, Shuanghao, et al.
Published: (2025)
by: Bai, Shuanghao, et al.
Published: (2025)
ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models
by: Zhang, Lingfeng, et al.
Published: (2024)
by: Zhang, Lingfeng, et al.
Published: (2024)
RynnBrain: Open Embodied Foundation Models
by: Dang, Ronghao, et al.
Published: (2026)
by: Dang, Ronghao, et al.
Published: (2026)
Learning Instruction-Guided Manipulation Affordance via Large Models for Embodied Robotic Tasks
by: Li, Dayou, et al.
Published: (2024)
by: Li, Dayou, et al.
Published: (2024)
An Adaptive Graduated Nonconvexity Loss Function for Robust Nonlinear Least Squares Solutions
by: Jung, Kyungmin, et al.
Published: (2023)
by: Jung, Kyungmin, et al.
Published: (2023)
Self-Improving Embodied Foundation Models
by: Ghasemipour, Seyed Kamyar Seyed, et al.
Published: (2025)
by: Ghasemipour, Seyed Kamyar Seyed, et al.
Published: (2025)
APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
by: Fan, Kejia, et al.
Published: (2025)
by: Fan, Kejia, et al.
Published: (2025)
Safe Learning for Contact-Rich Robot Tasks: A Survey from Classical Learning-Based Methods to Safe Foundation Models
by: Zhang, Heng, et al.
Published: (2025)
by: Zhang, Heng, et al.
Published: (2025)
T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models
by: Chen, Yiteng, et al.
Published: (2025)
by: Chen, Yiteng, et al.
Published: (2025)
NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks
by: Luo, Zhihao, et al.
Published: (2025)
by: Luo, Zhihao, et al.
Published: (2025)
A Survey on Robotics with Foundation Models: toward Embodied AI
by: Xu, Zhiyuan, et al.
Published: (2024)
by: Xu, Zhiyuan, et al.
Published: (2024)
Learning-Based Safety-Aware Task Scheduling for Efficient Human-Robot Collaboration
by: Faroni, M., et al.
Published: (2025)
by: Faroni, M., et al.
Published: (2025)
Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning
by: Liu, Xiang, et al.
Published: (2026)
by: Liu, Xiang, et al.
Published: (2026)
MiMo-Embodied: X-Embodied Foundation Model Technical Report
by: Hao, Xiaoshuai, et al.
Published: (2025)
by: Hao, Xiaoshuai, et al.
Published: (2025)
Decoupling Collision Avoidance in and for Optimal Control using Least-Squares Support Vector Machines
by: Dirckx, Dries, et al.
Published: (2025)
by: Dirckx, Dries, et al.
Published: (2025)
Transforming Monolithic Foundation Models into Embodied Multi-Agent Architectures for Human-Robot Collaboration
by: Sun, Nan, et al.
Published: (2025)
by: Sun, Nan, et al.
Published: (2025)
Universal Actions for Enhanced Embodied Foundation Models
by: Zheng, Jinliang, et al.
Published: (2025)
by: Zheng, Jinliang, et al.
Published: (2025)
Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration
by: Borazjani, Kasra, et al.
Published: (2025)
by: Borazjani, Kasra, et al.
Published: (2025)
Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
by: Liang, Wenlong, et al.
Published: (2025)
by: Liang, Wenlong, et al.
Published: (2025)
Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning
by: Cheng, Xiang, et al.
Published: (2024)
by: Cheng, Xiang, et al.
Published: (2024)
Embodied Red Teaming for Auditing Robotic Foundation Models
by: Karnik, Sathwik, et al.
Published: (2024)
by: Karnik, Sathwik, et al.
Published: (2024)
Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following
by: Ma, Yueen, et al.
Published: (2024)
by: Ma, Yueen, et al.
Published: (2024)
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models
by: Peng, Mingming, et al.
Published: (2025)
by: Peng, Mingming, et al.
Published: (2025)
FoundationGrasp: Generalizable Task-Oriented Grasping with Foundation Models
by: Tang, Chao, et al.
Published: (2024)
by: Tang, Chao, et al.
Published: (2024)
EO-1: An Open Unified Embodied Foundation Model for General Robot Control
by: Qu, Delin, et al.
Published: (2025)
by: Qu, Delin, et al.
Published: (2025)
EmbodiedBrain: Expanding Performance Boundaries of Task Planning for Embodied Intelligence
by: Zou, Ding, et al.
Published: (2025)
by: Zou, Ding, et al.
Published: (2025)
From Grounding to Manipulation: Case Studies of Foundation Model Integration in Embodied Robotic Systems
by: Sui, Xiuchao, et al.
Published: (2025)
by: Sui, Xiuchao, et al.
Published: (2025)
A Visual Reinforcement Learning-Based Separate Primitive Policy for Peg-in-Hole Tasks
by: Xu, Zichun, et al.
Published: (2025)
by: Xu, Zichun, et al.
Published: (2025)
FrankenBot: Brain-Morphic Modular Orchestration for Robotic Manipulation with Vision-Language Models
by: Wang, Shiyi, et al.
Published: (2025)
by: Wang, Shiyi, et al.
Published: (2025)
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
by: Chen, Xiaoyu, et al.
Published: (2024)
by: Chen, Xiaoyu, et al.
Published: (2024)
How Good are Foundation Models in Step-by-Step Embodied Reasoning?
by: Dissanayake, Dinura, et al.
Published: (2025)
by: Dissanayake, Dinura, et al.
Published: (2025)
Similar Items
-
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
by: Tong, Kai, et al.
Published: (2025) -
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
by: Zhuang, Huiping, et al.
Published: (2024) -
A Recursive Total Least Squares Solution for Bearing-Only Target Motion Analysis and Circumnavigation
by: Li, Lin, et al.
Published: (2025) -
A Residual Variance Matching Recursive Least Squares Filter for Real-time UAV Terrain Following
by: Wu, Xiaobo, et al.
Published: (2025) -
Embodied Navigation Foundation Model
by: Zhang, Jiazhao, et al.
Published: (2025)