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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–260 of 324 papers

TitleStatusHype
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)—0
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots—0
Why can big.bi be changed to bi.gbi? A mathematical model of syllabification and articulatory synthesis—0
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks—0
Ego-centric Learning of Communicative World Models for Autonomous Driving—0
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks—0
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching—0
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections—0
Show:102550
← PrevPage 26 of 33Next →
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