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Trajectory Planning

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하위 태스크: 1
평가표: 2
보존된 평가 기록: 7

Trajectory planning for industrial robots consists of moving the tool center point from point A to point B while avoiding body collisions over time. Trajectory planning is sometimes referred to as motion planning and erroneously as path planning. Trajectory planning is distinct from path planning in that it is parametrized by time. Essentially trajectory planning encompasses path planning in addition to planning how to move based on velocity, time, and kinematics.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/guicho271828/latplan

공식 코드

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/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/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

https://github.com/qiongwu86/v2x-assisted-distributed-computing-and-control-framework-for-connected-and-automated-vehicles

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V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario

https://github.com/qwerty35/swarm_simulator

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Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein Polynomial

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

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Illuminating Diverse Neural Cellular Automata for Level Generation

https://github.com/sreeramsa/drivesim

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Probing Multimodal LLMs as World Models for Driving

https://github.com/stephen-chung-mh/thinker

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Thinker: Learning to Plan and Act

https://github.com/subgoal-search/subgoal-search

공식 코드

Subgoal Search For Complex Reasoning Tasks

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