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Industrial Robots
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An industrial robot is a robot system used for manufacturing. Industrial robots are automated, programmable and capable of movement on three or more axes.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
Epona: Autoregressive Diffusion World Model for Autonomous Driving
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)
Interpreting learned search: finding a transition model and value function in an RNN that plays Sokoban
Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness
Ego-centric Learning of Communicative World Models for Autonomous Driving
Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic Reasoning
SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
From Turbulence to Tranquility: AI-Driven Low-Altitude Network
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks
Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving
TrackVLA: Embodied Visual Tracking in the Wild
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI
Articulatory modeling of the S-shaped F2 trajectories observed in Öhman's spectrographic analysis of VCV syllables
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
VERDI: VLM-Embedded Reasoning for Autonomous Driving
Non-planar Object Detection and Identification by Features Matching and Triangulation Growth
Provably safe and human-like car-following behaviors: Part 1. Analysis of phases and dynamics in standard models
Provably safe and human-like car-following behaviors: Part 2. A parsimonious multi-phase model with projected braking
TransDiffuser: End-to-end Trajectory Generation with Decorrelated Multi-modal Representation for Autonomous Driving
Optimal Trajectory Planning with Collision Avoidance for Autonomous Vehicle Maneuvering
Trajectory Planning with Model Predictive Control for Obstacle Avoidance Considering Prediction Uncertainty
Mixed Bernstein-Fourier Approximants for Optimal Trajectory Generation with Periodic Behavior
Latent Representations for Visual Proprioception in Inexpensive Robots
Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads
Generative emulation of chaotic dynamics with coherent prior
Diffusion Models for Robotic Manipulation: A Survey
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections
Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks
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