Motion Planning
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Benchmarks
nuScenes
Most implemented
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
Learning Latent Dynamics for Planning from Pixels
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Papers
RobotUse: Allocating Computation, Context, and Decisions
Robot agents must connect their intended actions to observed outcomes while retaining the context needed to revise their choices over repeated attempts. Existing interfaces often leave these choices inside predefined too…
Motion PlanningTraining-Free Diffusion Planning with Analytical Local Scores
Path finding and multi-robot motion planning require trajectories that are smooth, goal-directed, and collision-free in environments with complex geometric constraints. Recent diffusion-based planners have shown that tra…
Motion PlanningCoding Agents for Generalized Task and Motion Planning Problems
Task and motion planning (TAMP) problems remain difficult even with full observability and object-centric states because discrete decisions are tightly coupled to geometric, kinematic, and dynamic constraints. Generalize…
Program SynthesisMotion PlanningWhy Do Video Diffusion Models Violate Physics? Unveiling the Flaws in Attention Mechanisms
Despite impressive visual quality, state-of-the-art video diffusion models often generate content that violates real-world physical laws. While existing solutions rely on external priors or specialized data, we investiga…
Motion PlanningMotion planning in high dimensional spaces hybridizing RRT and HAR via position-direction decoupling
The exploration of high-dimensional spaces remains a challenging problem, in particular in the presence of narrow passages and small clearances. We propose novel sampling-based path-planning methods for high-dimensional …
Motion PlanningPccDiffuser: Multi-solution Motion Planning for Continuum Robots
We present the PccDiffuser, a conditional diffusion framework for continuum robots that learns a multimodal distribution over complete configuration-space paths and samples multiple candidate solutions in parallel, which…
Computational EfficiencyGraph Neural NetworkMotion Planning