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

Showing 4150 of 324 papers

TitleStatusHype
DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstaclesCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement LearningCode1
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary MissionsCode1
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning ApproachCode1
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning0
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning0
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)0
Safe and Economical UAV Trajectory Planning in Low-Altitude Airspace: A Hybrid DRL-LLM Approach with Compliance Awareness0
Ego-centric Learning of Communicative World Models for Autonomous Driving0
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Benchmark Results

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