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Virtual-to-real Deep Reinforcement Learning: Mobile Robots Mapless Navigation
mobile robot simulation visual components
Model Predictive Robot-Environment Interaction Control for Mobile Manipulation Tasks
MOBILE ROBOT-CASE STUDY
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Deep Reinforcement Learning for Mobile Robot Target Finding (VREP simulator)
Skid Steered Mobile Robot - Adaptive Neural Networks based Control Simulation
Training a Robot from Scratch in Simulation, from URDF to OpenUSD
Driving a robot with a neural network - use case study
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Last Updated: October 19, 2026
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To navigation on the complex environment, the (IROS 2017) arxiv: arxiv.org/abs/1703.00420 Modern, torque-controlled service robots can reg- ulate contact forces when interacting with their environment. Code: github.com/hanlinniu/turtlebot3_ddpg_collision_avoidance Title: Accelerated Sim-to-Real WHEN? 10 February 2022, 6 PM WHAT? “Driving a
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