Robotics And Machine Vision Resources

This is a curated collection of resources related to robotics and machine vision. All titles are titles I own and would encourage as useful in the field. There are also articles and useful links.

Background

• Introduction to Mathematical Statistics
  Robert Hogg, Joeseph McKean and Allen Craig

• Numerical Linear Algebra and Applications
  Biswa Nath Datta

More Advanced Background

• Machine Learning: A Probabilistic Perspective
  Kevin Murphy

• Neural Network Control of Robot Manipulators and Nonlinear Systems
  F. L. Lewis, A. Yesildirak and Suresh Jagannathan

Application and Robotics Specific Texts

• Probabilistic Robotics
  Sebastian Thrun, Wolfram Burgard and Dieter Fox

• Foundations of Robotics
  Tsuneo Yoshikawa

• Theory of Applied Robotics: Kinematics, Dynamics and Control
  Reza Jazar

• Introduction to Robotics: Mechanics and Control
  John J. Craig

• Robot Manipulators: Mathematics, Programming and Control
  Richard Paul

• Modern Robotics: Mechanics, Planning, and Control
  Kevin M. Lynch and Frank C. Park

Interesting and Relevant Articles

• Redesigning SLAM for Arbitrary Multi-Camera Systems

• Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

• Deep Dynamics Models for Learning Dexterous Manipulation

• Sensor-Actuator Networks

• BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains

• GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

• Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions

• Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations

• robot gym: accelerated robot training through simulation in the cloud with ROS and Gazebo

• An Auto-tuning Framework for Autonomous Vehicles

• 3D Shape Perception from Monocular Vision, Touch, and Shape Priors

• Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias

• Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios

• Probabilistic Prediction of Vehicle Semantic Intention and Motion

• Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

• Elastic Bands: Connecting Path Planning and Control

• Gaze and the Control of Foot Placement When Walking in Natural Terrain

• Monte Carlo Localization for Mobile Robots

• Singularity avoidance of a six degree of freedom three dimensional redundant planar manipulator

• Singular Configurations of Wrist-Partitioned 6R Serial Robots: a Geometric Perspective for Users

• Direct kinematics solution of 3-RRR robot by using two different artificial neural networks

• Deep Kernels for Optimizing Locomotion Controllers

• Approximation of the Inverse Kinematics of a Robotic Manipulator Using a Neural Network

• Artificial Neural Network Based Forward Kinematics Solution for Planar Parallel Manipulators Passing through Singular Configuration

• A New Artificial Neural Network Approach in Solving Inverse Kinematics of Robotic Arm (Denso VP6242)

• A study of neural network based inverse kinematics solution for a three-joint robot

• Hands Deep in Deep Learning for Hand Pose Estimation

• Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis

• Multi-Task Policy Search for Robotics

• Real-Time Grasp Detection Using Convolutional Neural Networks

• High-Dimensional Inverse Kinematics and Self-Reconfiguration Kinematic Control

• Learning real manipulation tasks from virtual demonstrations using LSTM

• A Neural Network-Based Approach for Trajectory Planning in Robot–Human Handover Tasks

• SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks

• Visual Servoing from Deep Neural Networks

• UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning

• Deep 6-DOF Tracking

• Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours

• Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

• 3D Simulated Robot Manipulation Using Deep Reinforcement Learning

• Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not

• 3D Simulation for Robot Arm Control with Deep Q-Learning

• End-to-End Training of Deep Visuomotor Policies

• Deep learning for detecting robotic grasps

• Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks

• Trajectory Optimization using Reinforcement Learning for Map Exploration

• SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

• Toward Geometric Deep SLAM

Online Learning Resources

• Drilling Down on Depth Sensing and Deep Learning

• Deep learning based Object Detection and Instance Segmentation using Mask R-CNN in OpenCV (Python / C++)

• 32-Legged Spherical Robot Moves Like an Amoeba

• The open online robotics education resource

• Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art

• MANIPULABILITY ELLIPSOIDS IN ROBOTICS

• ROS Tutorials

• Robocademy

• Robot Ignite Academy

• Introduction to Robot Geometry and Kinematics

• Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras

• Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation

• How a Kalman filter Works, In Pictures

• Gabriel Terejanu's Extended Kalman Filter Tutorial

Interesting Online Projects and Tools

• Developing Longitudinal Controls for a Self-Driving Taxi

• Microsoft AirSim

• Mask R-CNN for Object Detection and Segmentation

• KINOVA-ROS

• Kalman and Bayesian Filters in Python

Useful Actuator and Sensor Tools

• PiBits

Frameworks, Libraries and Tools

• Robotics Library

• The Orocos Project

• ROS

• OpenRave

• ROS Moveit!

• Gazebo