ServoLNN: Lagrangian Neural Networks Driven by Servomechanisms
Fuente:
arXiv
Saved in:
| Main Authors: | Johns, Brandon, Zhou, Zhuomin, Abdi, Elahe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation
by: Bagajo, Joshua, et al.
Published: (2024)
by: Bagajo, Joshua, et al.
Published: (2024)
From Framework to Reliable Practice: End-User Perspectives on Social Robots in Public Spaces
by: Oruma, Samson, et al.
Published: (2025)
by: Oruma, Samson, et al.
Published: (2025)
MI-HGNN: Morphology-Informed Heterogeneous Graph Neural Network for Legged Robot Contact Perception
by: Butterfield, Daniel, et al.
Published: (2024)
by: Butterfield, Daniel, et al.
Published: (2024)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)
by: Trinh, Minh, et al.
Published: (2025)
Learning IMM Filter Parameters from Measurements using Gradient Descent
by: Brandenburger, André, et al.
Published: (2023)
by: Brandenburger, André, et al.
Published: (2023)
Cybersecurity of Teleoperated Quadruped Robots: A Systematic Survey of Vulnerabilities, Threats, and Open Defense Gaps
by: Sabouri, Mohammad
Published: (2026)
by: Sabouri, Mohammad
Published: (2026)
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
by: Long, Yayu, et al.
Published: (2025)
by: Long, Yayu, et al.
Published: (2025)
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
by: Agia, Christopher, et al.
Published: (2024)
by: Agia, Christopher, et al.
Published: (2024)
Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
by: Song, Wenzhe, et al.
Published: (2026)
by: Song, Wenzhe, et al.
Published: (2026)
End-to-end deep learning-based framework for path planning and collision checking: bin picking application
by: Tamizi, Mehran Ghafarian, et al.
Published: (2023)
by: Tamizi, Mehran Ghafarian, et al.
Published: (2023)
CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
by: Hong, Hong, et al.
Published: (2026)
by: Hong, Hong, et al.
Published: (2026)
Preventing Robotic Jailbreaking via Multimodal Domain Adaptation
by: Marchiori, Francesco, et al.
Published: (2025)
by: Marchiori, Francesco, et al.
Published: (2025)
Magnet-Based Soft Robotic Skin Using a 3D-Printed Multi-Lattice Structure and CNN-Based Tactile Super-Resolution
by: Bang, Yunseong, et al.
Published: (2026)
by: Bang, Yunseong, et al.
Published: (2026)
Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
by: Xu, Hengxuan, et al.
Published: (2026)
by: Xu, Hengxuan, et al.
Published: (2026)
ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching
by: Qiu, Xiaotian, et al.
Published: (2026)
by: Qiu, Xiaotian, et al.
Published: (2026)
Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement Learning
by: Qiyuan, Liu
Published: (2024)
by: Qiyuan, Liu
Published: (2024)
SafeDMPs: Integrating Formal Safety with DMPs for Adaptive HRI
by: Nath, Soumyodipta, et al.
Published: (2026)
by: Nath, Soumyodipta, et al.
Published: (2026)
Simulations and Advancements in MRI-Guided Power-Driven Ferric Tools for Wireless Therapeutic Interventions
by: Chu, Wenhui, et al.
Published: (2026)
by: Chu, Wenhui, et al.
Published: (2026)
An Automatic Ground Collision Avoidance System with Reinforcement Learning
by: Sevgili, Seyyid Osman, et al.
Published: (2026)
by: Sevgili, Seyyid Osman, et al.
Published: (2026)
From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
by: Römer, Ralf, et al.
Published: (2025)
by: Römer, Ralf, et al.
Published: (2025)
ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning
by: Shamass, Faiq
Published: (2026)
by: Shamass, Faiq
Published: (2026)
Data Optimisation of Machine Learning Models for Smart Irrigation in Urban Parks
by: Ghadiri, Nasser, et al.
Published: (2024)
by: Ghadiri, Nasser, et al.
Published: (2024)
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)
by: Romero, Angel, et al.
Published: (2025)
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
by: Gasparino, Mateus Valverde, et al.
Published: (2024)
by: Gasparino, Mateus Valverde, et al.
Published: (2024)
Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
by: Muraleedharan, Anujith, et al.
Published: (2025)
by: Muraleedharan, Anujith, et al.
Published: (2025)
Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
by: Hathaway, Jamie, et al.
Published: (2023)
by: Hathaway, Jamie, et al.
Published: (2023)
End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
by: Hathaway, Jamie, et al.
Published: (2026)
by: Hathaway, Jamie, et al.
Published: (2026)
Speech to Reality: On-Demand Production using Natural Language, 3D Generative AI, and Discrete Robotic Assembly
by: Kyaw, Alexander Htet, et al.
Published: (2024)
by: Kyaw, Alexander Htet, et al.
Published: (2024)
SuperQ-GRASP: Superquadrics-based Grasp Pose Estimation on Larger Objects for Mobile-Manipulation
by: Tu, Xun, et al.
Published: (2024)
by: Tu, Xun, et al.
Published: (2024)
Autopilot-Preserving Residual Q-Learning with HJB-Inspired Finite-Action Risk Filtering for Fixed-Wing UAV Command Supervision
by: Iscan, Mehmet, et al.
Published: (2026)
by: Iscan, Mehmet, et al.
Published: (2026)
Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
by: Zeng, Jack, et al.
Published: (2025)
by: Zeng, Jack, et al.
Published: (2025)
Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards
by: Monon, Jahir Sadik, et al.
Published: (2024)
by: Monon, Jahir Sadik, et al.
Published: (2024)
Bimanual Robot Manipulation via Multi-Agent In-Context Learning
by: Palma, Alessio, et al.
Published: (2026)
by: Palma, Alessio, et al.
Published: (2026)
M2HRI: An LLM-Driven Multimodal Multi-Agent Framework for Personalized Human-Robot Interaction
by: Hasan, Shaid, et al.
Published: (2026)
by: Hasan, Shaid, et al.
Published: (2026)
A Micro-Macro Model of Encounter-Driven Information Diffusion in Robot Swarms
by: Catherman, Davis S., et al.
Published: (2026)
by: Catherman, Davis S., et al.
Published: (2026)
Differentiable Material Point Method for the Control of Deformable Objects
by: Bolliger, Diego, et al.
Published: (2025)
by: Bolliger, Diego, et al.
Published: (2025)
Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging
by: Cardei, Maria Ana, et al.
Published: (2025)
by: Cardei, Maria Ana, et al.
Published: (2025)
Decentralized Nonlinear Model Predictive Control-Based Flock Navigation with Real-Time Obstacle Avoidance in Unknown Obstructed Environments
by: Gerdpratoom, Nuthasith, et al.
Published: (2025)
by: Gerdpratoom, Nuthasith, et al.
Published: (2025)
Embedding bifurcations into pneumatic artificial muscle
by: Akashi, Nozomi, et al.
Published: (2023)
by: Akashi, Nozomi, et al.
Published: (2023)
Discovering Antagonists in Networks of Systems: Robot Deployment
by: Wenger, Ingeborg, et al.
Published: (2025)
by: Wenger, Ingeborg, et al.
Published: (2025)
Similar Items
-
DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation
by: Bagajo, Joshua, et al.
Published: (2024) -
From Framework to Reliable Practice: End-User Perspectives on Social Robots in Public Spaces
by: Oruma, Samson, et al.
Published: (2025) -
MI-HGNN: Morphology-Informed Heterogeneous Graph Neural Network for Legged Robot Contact Perception
by: Butterfield, Daniel, et al.
Published: (2024) -
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025) -
Learning IMM Filter Parameters from Measurements using Gradient Descent
by: Brandenburger, André, et al.
Published: (2023)