:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Santos-Grueiro, Igor
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence 68T01, 62B10 I.2.6; I.2.9; F.2.2
Online Access:	https://arxiv.org/abs/2602.05656
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
by: Syed, Shahram Najam, et al.
Published: (2025)

Analyzing the Impact of Multimodal Perception on Sample Complexity and Optimization Landscapes in Imitation Learning
by: Abuelsamen, Luai, et al.
Published: (2025)

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
by: Alt, Benjamin, et al.
Published: (2024)

ATAAT: Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models
by: Chen, Kewei, et al.
Published: (2026)

CulinaryCut-VLAP: A Vision-Language-Action-Physics Framework for Food Cutting via a Force-Aware Material Point Method
by: Koh, Hyunseo, et al.
Published: (2026)

FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models
by: Chen, Kewei, et al.
Published: (2025)

Evaluating Model-Agnostic Meta-Learning on MetaWorld ML10 Benchmark: Fast Adaptation in Robotic Manipulation Tasks
by: Atamuradov, Sanjar
Published: (2025)

Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
by: Landers, Jonathan R.
Published: (2025)

Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model
by: Rui, Wang, et al.
Published: (2026)

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)

Pre-trained Visual Representations Generalize Where it Matters in Model-Based Reinforcement Learning
by: Jones, Scott, et al.
Published: (2025)

Think, Act, Learn: A Framework for Autonomous Robotic Agents using Closed-Loop Large Language Models
by: Menon, Anjali R., et al.
Published: (2025)

Murphys Laws of AI Alignment: Why the Gap Always Wins
by: Gaikwad, Madhava
Published: (2025)

Closed-Loop Neural Activation Control in Vision-Language-Action Models
by: Babu, Abhijith, et al.
Published: (2026)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)

Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features
by: Chahine, Makram, et al.
Published: (2024)

Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment
by: Hussonnois, Maxence, et al.
Published: (2025)

Emergence of Goal-Directed Behaviors via Active Inference with Self-Prior
by: Kim, Dongmin, et al.
Published: (2025)

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning
by: Luijkx, Jelle, et al.
Published: (2025)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
by: Gasparino, Mateus Valverde, et al.
Published: (2024)

A Landmark-Aware Visual Navigation Dataset
by: Johnson, Faith, et al.
Published: (2024)

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
by: Römer, Ralf, et al.
Published: (2026)

Beyond Motion Imitation: Is Human Motion Data Alone Sufficient to Explain Gait Control and Biomechanics?
by: Liu, Xinyi, et al.
Published: (2026)

To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
by: Mazzola, Carlo, et al.
Published: (2023)

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
by: Fang, Jiawei, et al.
Published: (2025)

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
by: Zhou, Xueyang, et al.
Published: (2025)

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
by: Aida, Adriana, et al.
Published: (2026)

Inducing Causal World Models in LLMs for Zero-Shot Physical Reasoning
by: Sharma, Aditya, et al.
Published: (2025)

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
by: Yao, Huaiyuan, et al.
Published: (2025)

Leo Breiman, the Rashomon Effect, and the Occam Dilemma
by: Rudin, Cynthia
Published: (2025)

Autonomous Multi-Robot Infrastructure for AI-Enabled Healthcare Delivery and Diagnostics
by: Kalaivanan, Nakhul, et al.
Published: (2025)

Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF
by: Pourmandi, Massoud
Published: (2025)

A Survey on Vision-Language-Action Models for Embodied AI
by: Ma, Yueen, et al.
Published: (2024)

SCOPE: Selective Conformal Optimized Pairwise LLM Judging
by: Badshah, Sher, et al.
Published: (2026)

Multimodal Generative AI for Story Point Estimation in Software Development
by: Islam, Mohammad Rubyet, et al.
Published: (2025)

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
by: Rodemann, Julian, et al.
Published: (2024)

Connectivity-Aware Representations for Constrained Motion Planning via Multi-Scale Contrastive Learning
by: Jeon, Suhyun, et al.
Published: (2026)

Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
by: Du, Jin, et al.
Published: (2025)

SemanticFeels: Semantic Labeling during In-Hand Manipulation
by: Khalil, Anas Al Shikh, et al.
Published: (2026)

Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
by: Peng, Zhenghao, et al.
Published: (2024)