Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators
Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators

Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators

|
Stable Open Loop Control of Soft Robotic Manipulators

Stable Open Loop Control of Soft Robotic Manipulators

|
Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics

Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics

|
[ICRA 2023] Data-Driven SSM Reduction for Nonlinear Optimal Control of High-Dimensional Robots

[ICRA 2023] Data-Driven SSM Reduction for Nonlinear Optimal Control of High-Dimensional Robots

|
Model based control of soft continuum manipulators: an energy based approach - Enrico Franco

Model based control of soft continuum manipulators: an energy based approach - Enrico Franco

|
B2 Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

B2 Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

|
Trajectory Tracking for Articulated Soft Robots: an Iterative Learning Control Approach

Trajectory Tracking for Articulated Soft Robots: an Iterative Learning Control Approach

|
Model-based Deformation Tracking of Continuum Robot Arm

Model-based Deformation Tracking of Continuum Robot Arm

|
3D motion simulation of a two-segment soft robot based on non constant curvature model

3D motion simulation of a two-segment soft robot based on non constant curvature model

|
Model-free control framework for multi-limb soft robots

Model-free control framework for multi-limb soft robots

|
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV Assisted Mobile Edge Computing

Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV Assisted Mobile Edge Computing

|
ICRA 2020 - Tactile Dexterity: Manipulation Primitives with Tactile Feedback

ICRA 2020 - Tactile Dexterity: Manipulation Primitives with Tactile Feedback

|
Physics-inspired Deep Machine Learning and Reinforcement Learning with an... | Loris Di Natale

Physics-inspired Deep Machine Learning and Reinforcement Learning with an... | Loris Di Natale

|
A Data-Efficient Learning Framework for the Control of Continuum Robots - RoboSoft 2022 presentation

A Data-Efficient Learning Framework for the Control of Continuum Robots - RoboSoft 2022 presentation

|
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

|
Modeling and Control of an Omnidirectional Micro Aerial Vehicle Equipped with a Soft Robotic Arm

Modeling and Control of an Omnidirectional Micro Aerial Vehicle Equipped with a Soft Robotic Arm

|
Smooth Exploration for Robotic Reinforcement Learning

Smooth Exploration for Robotic Reinforcement Learning

|
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning

Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning

|
Affect-driven Robot Behavior Learning System (IROS 2021)

Affect-driven Robot Behavior Learning System (IROS 2021)

|
Keep soft robots soft - a data-driven based trade-off between feed-forward and feedback control

Keep soft robots soft - a data-driven based trade-off between feed-forward and feedback control

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa

Favorilere Ekle