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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/kalebbennaveed/Trajectory-Planning-for-Autonomous-Vehicles-Using-HRL

Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning

https://github.com/kylevedder/Push-and-Rotate

Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots

https://github.com/learningandplanningICLR/learningandplanning

Uncertainty-sensitive Learning and Planning with Ensembles

https://github.com/poi233/pcgrl_rts

Tree Search vs Optimization Approaches for Map Generation

https://github.com/robin-karlsson0/dslp

Lane Graph Estimation for Scene Understanding in Urban Driving

https://github.com/sabeaussan/ROS_Unity

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

https://github.com/smearle/gym-pcgrl

Tree Search vs Optimization Approaches for Map Generation

https://github.com/swchui/VTFSA

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?

https://github.com/theilem/uavSim

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

https://github.com/wangxiao5791509/DeepMTA_PyTorch

MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation

https://github.com/wenbowen123/BundleTrack

You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration

https://github.com/wzzheng/doe

GPD-1: Generative Pre-training for Driving

https://github.com/yangyucheng000/papercode-2/tree/main/WS-VAD-mindspore-main

VAD: Vectorized Scene Representation for Efficient Autonomous Driving

https://github.com/yashbonde/chess_lm

Learning to Search with MCTSnets

https://github.com/yl3829/Q-map

Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.