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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/qwerty35/swarm_simulator
공식 코드https://github.com/rstrudel/rlbc
공식 코드Learning to combine primitive skills: A step towards versatile robotic manipulation
https://github.com/smearle/control-pcgrl
공식 코드Illuminating Diverse Neural Cellular Automata for Level Generation
https://github.com/sreeramsa/drivesim
공식 코드https://github.com/stephen-chung-mh/thinker
공식 코드https://github.com/subgoal-search/subgoal-search
공식 코드https://github.com/sustechgameai/text-to-building-in-minecraft
공식 코드3D Building Generation in Minecraft via Large Language Models
https://github.com/taochenshh/hcp
공식 코드Hardware Conditioned Policies for Multi-Robot Transfer Learning
https://github.com/tbenciolini/safe-and-non-conservative-trajectory-planning
공식 코드https://github.com/translearn/safeMotions
공식 코드Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
https://github.com/ucla-mobility/AutoVLA
공식 코드https://github.com/udg-lai/modref2023
공식 코드https://github.com/unic-lab/qedgix
공식 코드GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
https://github.com/vorausrobotik/voraus-ad-dataset
공식 코드The voraus-AD Dataset for Anomaly Detection in Robot Applications
https://github.com/vvanirudh/ilc.jl
공식 코드https://github.com/wangy18/manifoldinterceptmethod
공식 코드https://github.com/wenbowen123/catgrasp
공식 코드CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
https://github.com/wyddmw/WiseAD
공식 코드WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
https://github.com/wzzheng/gpd
공식 코드https://github.com/yahiaetman/ms-level-gen
공식 코드https://github.com/zigned/nuplan_zigned
공식 코드Reinforced Imitative Trajectory Planning for Urban Automated Driving
https://github.com/zlatanajanovic/SBMP_PerfDriving
공식 코드Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles
https://gitlab.com/rei08/perception-energy-planner
공식 코드https://github.com/CeroChen/GraphBashedCoordination
https://github.com/Cognitive-AI-Systems/MAPF-GPT
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
https://github.com/PathPlanning/Push-and-Rotate--CBS--PrioritizedPlanning
Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots
https://github.com/SnDehghani/pcgrl_d_m
https://github.com/XGX-CURRY/uavSim
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
https://github.com/Zhefan-Xu/trajectory_optimization
https://github.com/clvrai/furniture
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
https://github.com/cmc623/Formation-control-with-lane-preference
https://github.com/cmc623/flexible-lane-direction-intersection
https://github.com/cmc623/formation-control-experiments
https://github.com/dixantmittal/mctsnet
https://github.com/drexubery/viewcrafter
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.