- DFKI presents new findings at the Conference on Robot Learning🔍
- Locomorph ‒ BioRob🔍
- Towards General and Autonomous Learning of Core Skills🔍
- Advanced Skills by Learning Locomotion and Local Navigation End ...🔍
- NSF Award Search🔍
- Deep reinforcement learning for real|world quadrupedal locomotion🔍
- Learning directed locomotion in modular robots with evolvable ...🔍
- SYNLOCO‐VE🔍
Learning Modular Robot Visual|motor Locomotion Policies
DFKI presents new findings at the Conference on Robot Learning
The first is TacEx, a simulation environment for tactile sensors. This will make it possible to train the fine motor skills of robots. In the ...
2) Motor ... locomotion comparing compliant and non-compliant modular robots. This study was carried out using our Roombots modular robot setup (Sproewitz et al.
Towards General and Autonomous Learning of Core Skills
To obtain a versatile motor module we would like to be able to learn a large number of locomotion ... Learning agile robotic locomotion skills by imitating ...
Advanced Skills by Learning Locomotion and Local Navigation End ...
For example, a planing module generates a trajectory that the robot can follow to reach its target. Then a path-following controller steers the robot towards ...
NSF Award Search: Award # 1932130 - CPS: Medium: Collaborative ...
CPS: Medium: Collaborative Research: Towards optimal robot locomotion in fluids through physics-informed learning with distributed sensing ...
Deep reinforcement learning for real-world quadrupedal locomotion
Building controllers for legged robots with agility and intelligence has been one of the typical challenges in the pursuit of artificial intelligence (AI).
Learning directed locomotion in modular robots with evolvable ...
We validate the best learned controllers by constructing three robots from the test suite in the real world and observe their fitness and actual trajectories.
SYNLOCO‐VE: Synthesizing central pattern generator with ...
It is a challenging task to learn a robust and natural locomotion controller for quadruped robots at different terrains and velocities.
Robot motor learning shows emergence of frequency-modulated ...
Using robot models, we studied the embodied traits in fish-inspired swimming. We developed modular robots with various designs and used central ...
(PDF) DeepCPG Policies for Robot Locomotion | Ali Minai ...
A novel approach to locomotion learning: Actor ... training the policy, and pre-tuned their CPG modules either Fig. ... robot with N motor joints at each modular ...
Robot Motor Skill Coordination with EM-based Reinforcement ...
Two skill learning experiments are conducted: a reaching task where the robot needs to adapt the learned movement to avoid an obstacle, and a dynamic pancake- ...
RMA: RAPID MOTOR ADAPTATION FOR LEGGED ROBOTS
Bioenergetics-inspired, learn walking policies without using any reference ... Learning quadrupedal locomotion over challenging terrain[J]. Science ...
Deployed for Dynamic Locomotion of a Two-Wheeled Robot
In particular, we introduced the Guided RL taxonomy – a modular toolbox for integrating different sources of knowledge into the RL Pipeline.
Design and Experiments of a Compact Self-Assembling Mobile ...
The robot modules can dock with each other based on relative positioning, which employs the visual perception of passive markers or active infrared signals in ...
GenLoco: Generalized Locomotion Controllers for Quadrupedal ...
Learning agile and dynamic motor skills for legged robots. Science ... Learning modular neural network policies for multi-task and multi-robot transfer.
Integration of Sensory Feedback into CPG Model for Locomotion ...
The optimized policy could be obtained after episodic learning. Simulation results show the caterpillar-like robot can climb over uneven terrains with the help ...
End-to-End Training of Deep Visuomotor Policies
Figure 1: Our method learns visuomotor policies that directly use camera image observa- tions (left) to set motor torques on a PR2 robot (right). perception and ...
Robots learn to move faster with brain-inspired approach
Training neural networks for movement control has historically been a complex and time-consuming endeavour. The difficulty arises from the ...
Multi-expert learning of adaptive legged locomotion - UCL Discovery
Here, we investigate the motor skills in the form of feedback control policies to address the reactive adaptation to multimodalities during robot locomotion, ...
IEEE Transactions on Robotics posted on the topic | LinkedIn
https://lnkd.in/gkDaanjq Paper title: Learning Modular Robot Control Policies ... #robots #leggedlocomotion #robotkinematics #deeplearninginrobots ...