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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/fiorina1212/attention-buckets

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Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use

https://github.com/gabe-yhlee/immp-public

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MMP++: Motion Manifold Primitives with Parametric Curve Models

https://github.com/google-deepmind/levintreesearch_cm

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Levin Tree Search with Context Models

https://github.com/guicho271828/latplan

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Classical Planning in Deep Latent Space

https://github.com/hawaclawek/ml-optimized-orthogonal-basis-pp

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Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation

https://github.com/hbayerlein/uav_data_harvesting

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

https://github.com/hustvl/lanegap

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Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction

https://github.com/hustvl/vad

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VAD: Vectorized Scene Representation for Efficient Autonomous Driving

https://github.com/i-ASL/BiC-MPPI

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BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization

https://github.com/iclr-dummy-user/swissnyf

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SwissNYF: Tool Grounded LLM Agents for Black Box Setting

https://github.com/ignc-research/ir-drl

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Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation

https://github.com/imanlab/deep_movement_primitives

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Deep Movement Primitives: toward Breast Cancer Examination Robot

https://github.com/jasonarmitage-res/pm-vln

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A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues

https://github.com/jasour/Risk-Bounded-Continuous-Time-Trajectory-Planning

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Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments

https://github.com/jhu-lcsr/costar_plan

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The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

https://github.com/jstyrud/planning-and-learning

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Combining Planning and Learning of Behavior Trees for Robotic Assembly

https://github.com/jtorde/planning_worlds_gazebo

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FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments

https://github.com/kevin-thu/epona

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Epona: Autoregressive Diffusion World Model for Autonomous Driving

https://github.com/levilelis/h-levin

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Policy-Guided Heuristic Search with Guarantees

https://github.com/ltp1995/gpvl

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Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving

https://github.com/ma29-hit/seal

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SEAL: Safety Enhanced Trajectory Planning and Control Framework for Quadrotor Flight in Complex Environments

https://github.com/manymuch/ground_normal_filter

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Towards Accurate Ground Plane Normal Estimation from Ego-Motion

https://github.com/mcapino/adpp-journal

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Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots

https://github.com/mcgrche/LetsPi--Planning-Safety-Trajectories-with-Dual-Phase-Physics-Informed-LLM

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Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models

https://github.com/mehdiazarafza/uav-rag

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Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic Reasoning

https://github.com/mhammoud115/da-rl

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Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning

https://github.com/michael-fonder/m4depthu

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A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles

https://github.com/microsoft/magebench

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MageBench: Bridging Large Multimodal Models to Agents

https://github.com/mit-acl/faster

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FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments

https://github.com/nobodymx/resilient-swarm-communications-with-meta-graph-convolutional-networks

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Resilient UAV Swarm Communications with Graph Convolutional Neural Network

https://github.com/omardelarosa/pcgrl-brush

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Mixed-Initiative Level Design with RL Brush

https://github.com/omikad/halfweg

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Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks

https://github.com/openbmb/toolbench

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ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

https://github.com/opendrivelab/uniad

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Planning-oriented Autonomous Driving

https://github.com/openlka/openlka

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OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles

https://github.com/qiaojunyu/GAMMA-ICRA2024

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GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects

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