Copertina

CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Johnsen, Timothy K, Levorato, Marco
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Robotics Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
di: Johnsen, Tim, et al.
Pubblicazione: (2024)

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation
di: Johnsen, Timothy K, et al.
Pubblicazione: (2024)

DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
di: Han, James R., et al.
Pubblicazione: (2024)

Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation
di: France, Kordel K., et al.
Pubblicazione: (2026)

Diffusion Graph Neural Networks and Dataset for Robust Olfactory Navigation in Hazard Robotics
di: France, Kordel K., et al.
Pubblicazione: (2025)

Reinforcement Learning for Ballbot Navigation in Uneven Terrain
di: Salehi, Achkan
Pubblicazione: (2025)

Learning Dynamic Cognitive Map with Autonomous Navigation
di: de Tinguy, Daria, et al.
Pubblicazione: (2024)

Learning World Models for Unconstrained Goal Navigation
di: Duan, Yuanlin, et al.
Pubblicazione: (2024)

Causality-Aware Transformer Networks for Robotic Navigation
di: Wang, Ruoyu, et al.
Pubblicazione: (2024)

Research on Autonomous Robots Navigation based on Reinforcement Learning
di: Wang, Zixiang, et al.
Pubblicazione: (2024)

PlaceNav: Topological Navigation through Place Recognition
di: Suomela, Lauri, et al.
Pubblicazione: (2023)

Aligning Robot Navigation Behaviors with Human Intentions and Preferences
di: Karnan, Haresh
Pubblicazione: (2024)

iMoT: Inertial Motion Transformer for Inertial Navigation
di: Nguyen, Son Minh, et al.
Pubblicazione: (2024)

Language-Conditioned Offline RL for Multi-Robot Navigation
di: Morad, Steven, et al.
Pubblicazione: (2024)

A Hybrid Adaptive Velocity Aided Navigation Filter with Application to INS/DVL Fusion
di: Or, Barak, et al.
Pubblicazione: (2022)

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements
di: Puthumanaillam, Gokul, et al.
Pubblicazione: (2025)

Field Assessment of Force Torque Sensors for Planetary Rover Navigation
di: Gerdes, Levin, et al.
Pubblicazione: (2024)

Learning Autonomy: Off-Road Navigation Enhanced by Human Input
di: Nagariya, Akhil, et al.
Pubblicazione: (2025)

MASP: Scalable GNN-based Planning for Multi-Agent Navigation
di: Yang, Xinyi, et al.
Pubblicazione: (2023)

When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation
di: Aghaei, Matin, et al.
Pubblicazione: (2025)

Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning
di: Canesse, Alexi, et al.
Pubblicazione: (2024)

Tactile Estimation of Extrinsic Contact Patch for Stable Placement
di: Ota, Kei, et al.
Pubblicazione: (2023)

Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
di: Liu, Yi-Ling, et al.
Pubblicazione: (2026)

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
di: Liu, Shuijing, et al.
Pubblicazione: (2020)

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
di: Kolomeytsev, Yury, et al.
Pubblicazione: (2025)

Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments
di: He, Xiaoyi, et al.
Pubblicazione: (2025)

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
di: Liu, Shuijing, et al.
Pubblicazione: (2024)

Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps
di: Zhao, Linfeng, et al.
Pubblicazione: (2024)

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments
di: Liu, Shuijing, et al.
Pubblicazione: (2024)

AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems
di: Pasricha, Sudeep
Pubblicazione: (2024)

Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning
di: Kolomeytsev, Yury, et al.
Pubblicazione: (2024)

Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
di: Patel, Bhrij, et al.
Pubblicazione: (2023)

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
di: Obando-Ceron, Johan, et al.
Pubblicazione: (2025)

Vision Language Models are In-Context Value Learners
di: Ma, Yecheng Jason, et al.
Pubblicazione: (2024)

Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approach
di: Tayar, Marco S., et al.
Pubblicazione: (2025)

VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation
di: Castro, Mateo Guaman, et al.
Pubblicazione: (2025)

Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
di: Kim, Jinyeob, et al.
Pubblicazione: (2024)

Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
di: Li, Keyu, et al.
Pubblicazione: (2021)

Vintix: Action Model via In-Context Reinforcement Learning
di: Polubarov, Andrey, et al.
Pubblicazione: (2025)

Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds
di: Zhang, Jiefu, et al.
Pubblicazione: (2026)