- [2105.10049] Learning Modular Robot Control Policies🔍
- Learning Modular Robot Control Policies🔍
- [PDF] Learning Modular Robot Control Policies🔍
- Code used in the publication "Learning modular robot control policies."🔍
- Learning Modular Robot Visual|motor Locomotion Policies🔍
- Learning modular policies for robotics🔍
- Learning modular language|conditioned robot policies through ...🔍
- Learning Robot Control🔍
Learning Modular Robot Control Policies
[2105.10049] Learning Modular Robot Control Policies - arXiv
We create a modular policy framework where the policy structure is conditioned on the hardware arrangement, and use just one training process to create a ...
Learning Modular Robot Control Policies - IEEE Xplore
Our modular policy learning algorithm leverages the graph structure common to all such modular designs, enabling us to control any robot composed of these ...
Learning Modular Robot Control Policies - YouTube
Researchers from @cmurobotics describe how to use modular hardware design to inform modular control design for modular robotic systems in a ...
[PDF] Learning Modular Robot Control Policies - Semantic Scholar
A model-based reinforcement learning algorithm, interleaving model learning and trajectory optimization to train the modular policy, which generalizes to a ...
Code used in the publication "Learning modular robot control policies."
Code used in the publication "Learning modular robot control policies." - GitHub - biorobotics/learning_modular_policies: Code used in the publication ...
Learning Modular Robot Visual-motor Locomotion Policies
Abstract: Control policy learning for modular robot locomotion has previously been limited to proprioceptive feedback and flat terrain.
Learning Modular Robot Control Policies | Request PDF
Request PDF | Learning Modular Robot Control Policies | Modular robots can be rearranged into a new design, perhaps each day, to handle a wide variety of ...
Learning Modular Robot Visual-motor Locomotion Policies
The policy components can be recombined during training to learn to control multiple designs. We develop a deep reinforcement learning algorithm where visual ...
(PDF) Learning Modular Robot Control Policies - ResearchGate
Learning Modular Robot Control Policies ... Modular robots can be rearranged into a new design, perhaps each day, to handle a wide variety of ...
Learning modular policies for robotics - Frontiers
In this paper we present our work on a unified approach for learning such a modular control architecture. We introduce new policy search algorithms.
Learning modular language-conditioned robot policies through ...
Training language-conditioned policies is typically time-consuming and resource-intensive. Additionally, the resulting controllers are ...
Learning modular policies for robotics - PubMed
In this paper we present our work on a unified approach for learning such a modular control architecture. We introduce new policy search ...
Learning modular policies for robotics - PMC - NCBI
In this paper we present our work on a unified approach for learning such a modular control architecture. We introduce new policy search ...
LEARNING). Learning the Control Policy in a Modular Way. Theoretically, the techniques of reinforcement learning and dynamic program- ming would be able to ...
Learning Distributed Control for Modular Robots - People
We investigate a distributed reinforcement learning approach where each module of the robot is able to learn its local behaviors (henceforth known as policy) ...
Modularity through Attention: Efficient Training and Transfer of ...
Learning such policies requires a substantial investment with regards to time and compute resources. Still, the resulting controllers are highly device-specific ...
Modular Neural Network Policies for Learning In-Flight Object ... - arXiv
Abstract:We present a modular framework designed to enable a robot hand-arm system to learn how to catch flying objects, ...
Automating Automation with Modular Robot Synthesis - KiltHub
We introduce modular policies that learn to control a range of designs in one training process. In the policy architecture, information about ...
Learning modular neural network policies for multi-task and multi ...
We show that neural network policies can be decomposed into “task-specific” and “robot-specific” modules, where the task-specific ...
Modular robotic systems: Methods and algorithms for abstraction ...
... control the bonding policies of modules. ... A hormone-based controller for evolutionary multi-modular robotics: from single modules to gait learning.