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- Navigation of Autonomous Light Vehicles Using an Optimal Trajectory Planning Algorithm
- Neural Networks in Mobile Robot Motion, Pp
- Camera-To-Robot Pose Estimation from a Single Image
- Learning Robot Control
- Memristor-Based Reservoir Computing
- Real-World Robotic Perception and Control Using Synthetic Data
- Planning for Autonomous Cars That Leverage Effects on Human Actions
- Imitation Learning with Visual Attention for Robot Control
- Computer Vision in Robotics and Industrial Applications
- Design of a Hybrid Robot Control System Using Memristor-Model and Ant-Inspired Based Information Transfer Protocols*
- Computer Vision Meets Educational Robotics
- Control of Industrial Robot Using Neural Network Compensator
- The Augmented Agronomist Pipeline and Time Series Forecasting
- Deep Reinforcement Learning for Robotic Manipulation-The State of the Art
- Intelligent Vision-Driven Robot for Sample Detection and Return -A Study in Artificial Intelligence
- Self Driving Car: Artificial Intelligence Approach
- Arxiv:1806.09655V2 [Cs.LG] 12 Feb 2019 to Adults Walking
- Memristor-Enhanced Humanoid Robot Control System – Part I: Theory Behind the Novel Memcomputing Paradigm
- A New Way to Interact with Robots
- Case Studies of Successful Robot Systems
- Deep Learning-Based Robot Control Using Recurrent Neural Networks (LSTM; GRU) and Adaptive Sliding Mode Control
- Machine Learning for Shared Control with Assistive Machines
- Transfer Learning for Robot Control with Generative Adversarial Networks
- Deepmpc: Learning Deep Latent Features for Model Predictive Control
- Robust Control of a Silicone Soft Robot Using Neural Networks Gang Zheng, Yuan Zhou, Mingda Ju
- Learning-In-The-Loop Optimization: End-To-End Control and Co-Design of Soft Robots Through Learned Deep Latent Representations
- Robot Control Basics CS 685 Control Basics
- Industrial Robot Trajectory Tracking Control Using Multi-Layer Neural Networks Trained by Iterative Learning Control
- Mobile Robot Control and Guidance Using Computer Vision Řízení a Navádění Kolového Robota Pomocí Počítačového Vidění
- Memristor-Enhanced Humanoid Robot Control System–Part II: Circuit
- Survey of Vision-Based Robot Control
- Artificial Intelligence-Based Wearable Robotic Exoskeletons for Upper Limb Rehabilitation: a Review
- Deep Reinforcement Learning for the Control of Robotic Manipulation: a Focussed Mini-Review
- Robot Motion Planning for Tracking and Capturing Adversarial, Cooperative and Independent Targets
- Artificial Vision Algorithms for Socially Assistive Robot Applications
- Converging Robotic Technologies in Targeted Neural Rehabilitation: a Review of Emerging Solutions and Challenges
- Face-Following Robot Arm with Emotion Detection Vernon Stanley Albayeros Duarte
- Q-Learning for Robot Control
- Quantum Computation in Robotic Science and Applications
- An Introduction to Robotics
- Predictive Control for Autonomous Driving with Experimental Evaluation on a Heavy-Duty Construction Truck
- An Analytic Layer-Wise Deep Learning Framework with Applications to Robotics
- Connectionist Architectures for Control of Manipulation Robots by Feedback·Error Learning Method
- Face Detection and Tracking Control with Omni Car Jheng-Hao Chen, Tung-Yu Wu
- The State of AI Ethics Report (Volume 4)
- Design of a Hybrid Robot Control System Using Memristor-Model and Ant-Inspired Based Information Transfer Protocols*
- DRL: Deep Reinforcement Learning for Intelligent Robot Control– Concept, Literature, and Future Aras Dargazany - [email protected]
- Vision-Based Robot Control in the Context of Human-Machine Interactions
- A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles
- Sensor and Sensor Fusion Technology in Autonomous Vehicles: a Review
- Autonomous Car Driving by a Humanoid Robot Antonio Paolillo, Pierre Gergondet, Andrea Cherubini, Marilena Vendittelli, Abderrahmane Kheddar
- An Introduction to Ethics in Robotics and AI
- Generalization-Based Acquisition of Training Data for Motor Primitive Learning by Neural Networks
- Enabling Safe Exploration of Action Space in Real–World Robots
- Embedded Design and Implementation of Mobile Robot for Surveillance Applications
- Neural Network Control of Robots and Nonlinear Systems
- Deep Learning for Robotics
- Machine Learning Algorithms in Bipedal Robot Control Shouyi Wang, Wanpracha Chaovalitwongse and Robert Babuskaˇ
- Embed to Control: a Locally Linear Latent Dynamics Model for Control from Raw Images
- Memristor Hardware-Friendly Reinforcement Learning Nan Wu, Adrien Vincent, Dmitri Strukov, and Yuan Xie