This Robotics, Vision And Control eBook from 3D-LABS is written for engineers and students who want a clear, practical reference they can apply immediately.
Robotics, Vision and Control — Worked Examples in Python covers robot kinematics, computer vision, and closed-loop control through fully worked Python examples using Robotics Toolbox for Python and OpenCV.
What format does this book follow?
Worked-example-first structure: each concept introduced with a complete Python example then explained line-by-line. Uses Robotics Toolbox for Python 1.1 (Corke), OpenCV 4.8, NumPy 1.26, SciPy 1.11. Mathematical references: Corke Springer 2023, Hartley and Zisserman Cambridge 2004.
What camera calibration formula is implemented?
Pinhole model: [u,v,1]^T = (1/Z)*K*[X,Y,Z]^T with intrinsic matrix K=[[fx,0,cx],[0,fy,cy],[0,0,1]]. Distortion: radial (k1,k2,k3) and tangential (p1,p2) per Zhang (2000). Calibration via cv2.calibrateCamera() with 20+ checkerboard images.
What visual servoing method is implemented?
IBVS: v_c = -lambda*L_s_plus*(s-s*), lambda=0.5, L_s in R^(4×6). Compared with PBVS using solvePnP pose estimation. Convergence shown in simulation then validated on Franka Panda hardware.
How do I access this book after purchase?
eBook PDF: Instant download via email and 3D-LABS dashboard. Paper Book: Printed and shipped to India.
What’s Included
An instant PDF download covering the core concepts, practical examples, and key references — ready to read on any device.

