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Bibliografski detalji
Glavni autori:	Gupta, Piyush, Bae, Sangjae, Isele, David
Format:	Preprint
Izdano:	2025
Teme:	Artificial Intelligence Machine Learning Robotics
Online pristup:	https://arxiv.org/abs/2503.10941
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Slični predmeti

Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation
od: Gupta, Piyush, i dr.
Izdano: (2024)

Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams
od: Gupta, Piyush, i dr.
Izdano: (2026)

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
od: Li, Jinning, i dr.
Izdano: (2024)

KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning
od: Shek, Chak Lam, i dr.
Izdano: (2026)

Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees
od: Gupta, Piyush, i dr.
Izdano: (2025)

Gaussian Lane Keeping: A Robust Prediction Baseline
od: Isele, David, i dr.
Izdano: (2024)

Predictive Planner for Autonomous Driving with Consistency Models
od: Li, Anjian, i dr.
Izdano: (2025)

GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks
od: Kang, Haoqiang, i dr.
Izdano: (2025)

Leveraging LLMs for reward function design in reinforcement learning control tasks
od: Cardenoso, Franklin, i dr.
Izdano: (2025)

3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
od: Yang, Jianing, i dr.
Izdano: (2024)

PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
od: Zhang, Jesse, i dr.
Izdano: (2025)

HACMan++: Spatially-Grounded Motion Primitives for Manipulation
od: Jiang, Bowen, i dr.
Izdano: (2024)

Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization
od: Song, Lin, i dr.
Izdano: (2024)

CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
od: Wang, Jun, i dr.
Izdano: (2025)

ViReSkill: Vision-Grounded Replanning with Skill Memory for LLM-Based Planning in Lifelong Robot Learning
od: Kagaya, Tomoyuki, i dr.
Izdano: (2025)

Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
od: Anvar, Timur, i dr.
Izdano: (2025)

Motion Forecasting via Model-Based Risk Minimization
od: Distelzweig, Aron, i dr.
Izdano: (2024)

Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
od: Walter, Tim, i dr.
Izdano: (2025)

Body Transformer: Leveraging Robot Embodiment for Policy Learning
od: Sferrazza, Carmelo, i dr.
Izdano: (2024)

IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving
od: Ryu, Kanghyun, i dr.
Izdano: (2025)

Don't Get Stuck: A Deadlock Recovery Approach
od: Baldini, Francesca, i dr.
Izdano: (2024)

Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
od: Muslimani, Calarina, i dr.
Izdano: (2024)

Grounding Language Models in Autonomous Loco-manipulation Tasks
od: Wang, Jin, i dr.
Izdano: (2024)

Distilling On-device Language Models for Robot Planning with Minimal Human Intervention
od: Ravichandran, Zachary, i dr.
Izdano: (2025)

Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space
od: Orsula, Andrej, i dr.
Izdano: (2024)

Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors
od: Majumdar, Anirudha
Izdano: (2025)

Redefining Data Pairing for Motion Retargeting Leveraging a Human Body Prior
od: Figuera, Xiyana, i dr.
Izdano: (2024)

SAGA: Open-World Mobile Manipulation via Structured Affordance Grounding
od: Fang, Kuan, i dr.
Izdano: (2025)

Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
od: Tang, Chen, i dr.
Izdano: (2021)

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation
od: Pan, Jiahe, i dr.
Izdano: (2026)

Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model
od: Wang, Jin, i dr.
Izdano: (2024)

Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving
od: Anon, Alexandre Miranda, i dr.
Izdano: (2024)

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
od: Wang, Yucen, i dr.
Izdano: (2025)

Trinity: Unifying Class-Agnostic Terrain and Semantic Segmentation for Unstructured Outdoor Environments by Leveraging Synthetic Data
od: Müller, Marcus G, i dr.
Izdano: (2026)

LookPlanGraph: Embodied Instruction Following Method with VLM Graph Augmentation
od: Onishchenko, Anatoly O., i dr.
Izdano: (2025)

Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
od: Zhang, Yang, i dr.
Izdano: (2024)

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
od: Liu, Xinjie, i dr.
Izdano: (2025)

Evolutionary Policy Optimization
od: Wang, Jianren, i dr.
Izdano: (2025)

3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding
od: Ogunleye, Makanjuola, i dr.
Izdano: (2026)

TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
od: Hong, Matthew M., i dr.
Izdano: (2026)