Cover Image

LaPlaSS: Latent Space Planning for Stochastic Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Reeves, Marlyse, Williams, Brian C.
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PlaMo: Plan and Move in Rich 3D Physical Environments
by: Hallak, Assaf, et al.
Published: (2024)

Diffusion-Guided Multi-Arm Motion Planning
by: Parimi, Viraj, et al.
Published: (2025)

Latent Diffusion Planning for Imitation Learning
by: Xie, Amber, et al.
Published: (2025)

LatentMimic: Terrain-Adaptive Locomotion via Latent Space Imitation
by: Wang, Zhiquan, et al.
Published: (2026)

Robust Stochastic Shortest-Path Planning via Risk-Sensitive Incremental Sampling
by: Enwerem, Clinton, et al.
Published: (2024)

Efficient Robotic Policy Learning via Latent Space Backward Planning
by: Liu, Dongxiu, et al.
Published: (2025)

Planning as Descent: Goal-Conditioned Latent Trajectory Synthesis in Learned Energy Landscapes
by: García, Carlos Vélez, et al.
Published: (2025)

Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment
by: Wang, Tianyu, et al.
Published: (2024)

Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation
by: Parimi, Viraj, et al.
Published: (2025)

ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space
by: Yan, Yashuai, et al.
Published: (2023)

The SET Perceptual Factors Framework: Towards Assured Perception for Autonomous Systems
by: Williams, Troi
Published: (2025)

Anytime Probabilistically Constrained Provably Convergent Online Belief Space Planning
by: Zhitnikov, Andrey, et al.
Published: (2024)

Space-Time Graphs of Convex Sets for Multi-Robot Motion Planning
by: Tang, Jingtao, et al.
Published: (2025)

Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators
by: Zhao, Linfeng, et al.
Published: (2025)

Contingency Planning Using Bi-level Markov Decision Processes for Space Missions
by: Banerjee, Somrita, et al.
Published: (2024)

Adaptive Science Operations in Deep Space Missions Using Offline Belief State Planning
by: Kim, Grace Ra, et al.
Published: (2025)

Interleaving Scheduling and Motion Planning with Incremental Learning of Symbolic Space-Time Motion Abstractions
by: Tosello, Elisa, et al.
Published: (2026)

Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation with Tools
by: You, Yang, et al.
Published: (2023)

Enhancing Path Planning Performance through Image Representation Learning of High-Dimensional Configuration Spaces
by: Jimenez, Jorge Ocampo, et al.
Published: (2025)

Getting SMARTER for Motion Planning in Autonomous Driving Systems
by: Alban, Montgomery, et al.
Published: (2025)

RepV: Safety-Separable Latent Spaces for Scalable Neurosymbolic Plan Verification
by: Yang, Yunhao, et al.
Published: (2025)

COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models
by: Sundaram, Ganesh, et al.
Published: (2025)

Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows
by: Kruse, Liam A., et al.
Published: (2025)

Constrained Natural Language Action Planning for Resilient Embodied Systems
by: Byrd, Grayson, et al.
Published: (2025)

Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems
by: Li, Mingwei, et al.
Published: (2025)

Anytime Incremental $ρ$POMDP Planning in Continuous Spaces
by: Benchetrit, Ron, et al.
Published: (2025)

Efficient Virtuoso: A Latent Diffusion Transformer Model for Goal-Conditioned Trajectory Planning
by: Guillen-Perez, Antonio
Published: (2025)

Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots
by: Zheng, Ziang, et al.
Published: (2025)

SafeGen-LLM: Enhancing Safety Generalization in Task Planning for Robotic Systems
by: Fan, Jialiang, et al.
Published: (2026)

Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems
by: Ji, Jiabao, et al.
Published: (2026)

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
by: Hu, Jiaheng, et al.
Published: (2025)

Stochastic Q-learning for Large Discrete Action Spaces
by: Fourati, Fares, et al.
Published: (2024)

LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
by: Zhang, Yuhang, et al.
Published: (2025)

Genetic Algorithm Based System for Path Planning with Unmanned Aerial Vehicles Swarms in Cell-Grid Environments
by: Puente-Castro, Alejandro, et al.
Published: (2024)

Latent Action Priors for Locomotion with Deep Reinforcement Learning
by: Hausdörfer, Oliver, et al.
Published: (2024)

Guided Streaming Stochastic Interpolant Policy
by: Jiang, Puming, et al.
Published: (2026)

VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
by: Cheng, Ming, et al.
Published: (2024)

MEXGEN: An Effective and Efficient Information Gain Approximation for Information Gathering Path Planning
by: Chesser, Joshua, et al.
Published: (2024)

Safe Interval RRT* for Scalable Multi-Robot Path Planning in Continuous Space
by: Sim, Joonyeol, et al.
Published: (2024)

Integrating Symbolic RL Planning into a BDI-based Autonomous UAV Framework: System Integration and SIL Validation
by: Jeon, Sangwoo, et al.
Published: (2025)