SOTAVerified

Trajectory Planning

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.

Papers

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Showing 76–100 of 324 papers

TitleStatusHype
Reachable Sets-based Trajectory Planning Combining Reinforcement Learning and iLQR—0
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles—0
Variable Time-Step MPC for Agile Multi-Rotor UAV Interception of Dynamic Targets—0
Combining Cooperative Re-Routing with Intersection Coordination for Connected and Automated Vehicles in Urban Networks—0
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning—0
Long-Term Planning Around Humans in Domestic Environments with 3D Scene Graphs—0
Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems—0
Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems—0
Trajectory Planning with Signal Temporal Logic Costs using Deterministic Path Integral Optimization—0
Llamarine: Open-source Maritime Industry-specific Large Language Model—0
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving—0
A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization—0
Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems—0
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models—0
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning—0
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks—0
Systems Engineering for Autonomous Vehicles; Supervising AI using Large Language Models (SSuperLLM)—0
RFPPO: Motion Dynamic RRT based Fluid Field - PPO for Dynamic TF/TA Routing Planning—0
DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers—0
Multi-UAV Collaborative Trajectory Planning for Seamless Data Collection and Transmission—0
Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems—0
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty—0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—0
Calculation of time-optimal motion primitives for systems exhibiting oscillatory internal dynamics—0
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving—0
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All datasetsnuScenesToolBench

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-P3 (Lidar)Collision-3s1.27—Unverified
2UniADCollision-3s0.71—Unverified
3AD-MLPCollision-3s0.24—Unverified
4VAD-Base [jiang2023vad]Collision-3s0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-TOPGUNWin rate86.54—Unverified
2Attention BucketWin rate71.5—Unverified
3GPT4- DFSDTWin rate70.4—Unverified