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 171180 of 324 papers

TitleStatusHype
Positioning Error Compensation by Channel Knowledge Map in UAV Communication Missions0
Probabilistically Robust Trajectory Planning of Multiple Aerial Agents0
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions0
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators0
Provably safe and human-like car-following behaviors: Part 2. A parsimonious multi-phase model with projected braking0
Provably safe and human-like car-following behaviors: Part 1. Analysis of phases and dynamics in standard models0
QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing: An Online Joint Optimization Approach0
Quadrotor Takeoff Trajectory Planning in a One-Dimensional Uncertain Wind-field Aided by Wind-Sensing Infrastructure0
Reachable Sets-based Trajectory Planning Combining Reinforcement Learning and iLQR0
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape0
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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