Book, articles and interesting things related to robotics
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.
Introduction to Mathematical Statistics
Robert Hogg, Joeseph McKean and Allen Craig
Numerical Linear Algebra and Applications
Biswa Nath Datta
Machine Learning: A Probabilistic Perspective
Kevin Murphy
Neural Network Control of Robot Manipulators and Nonlinear Systems
F. L. Lewis, A. Yesildirak and Suresh Jagannathan
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
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
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
3D Shape Perception from Monocular Vision, Touch, and Shape Priors
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Probabilistic Prediction of Vehicle Semantic Intention and Motion
Gaze and the Control of Foot Placement When Walking in Natural Terrain
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
Approximation of the Inverse Kinematics of a Robotic Manipulator Using a Neural Network
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
Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis
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
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
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
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks
Trajectory Optimization using Reinforcement Learning for Map Exploration
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras
Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation