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Robotics mechanics, planning, and control (literacy)

The **Modern Robotics** spine (Lynch & Park, Cambridge 2017; free preprint on the Northwestern wiki): configuration space, rigid-body motions, forward/inverse kinematics, velocity kinematics & statics, dynamics, trajectory generation, mo...

What it is

The Modern Robotics spine (Lynch & Park, Cambridge 2017; free preprint on the Northwestern wiki): configuration space, rigid-body motions, forward/inverse kinematics, velocity kinematics & statics, dynamics, trajectory generation, motion planning, robot control, grasping/manipulation, and wheeled mobile robots. Northwestern ME 449 and the Coursera Modern Robotics specialization (six short courses + mobile-manipulation capstone) teach this stack.

HIGH PRIORITYDIAGRAM
◷ IN PRODUCTION

Visual Spec & Architecture Diagram

Kinematics literacy sketch: simple 2-link arm with joint angles θ1,θ2; end-effector pose; labels forward kinematics (joints→pose) vs inverse (pose→joints). No weapon imagery—arm picks a block.

Educational Focus: Makes FK/IK distinction visual without heavy math.

Why it matters

Embodied AI headlines skip the mechanics. Without C-space, Jacobians, and feedback control literacy, learners misread demos as “the model drives motors directly and safely.”

How it works (plain)

  1. Describe how the robot can move (configuration / degrees of freedom).
  2. Map joints ↔ hand pose (kinematics).
  3. Plan a collision-aware motion.
  4. Track that motion with feedback control.
  5. For mobile bases, add nonholonomic constraints and odometry.

Software libraries (Python/MATLAB/Mathematica) and CoppeliaSim scenes support exercises on the book site.

Everyday example

A robot arm picking a cup: decide a grasp pose (kinematics/manipulation), plan a path that misses the coffee machine (planning), and smoothly track joint torques/velocities (control).

Try it

Skim the Modern Robotics table of contents (13 chapters). Star three chapters you’d need before trusting a learning-based arm policy in a lab.

Myths

⚠️ Myth: End-to-end networks obsolete kinematics.
✓ Reality: MIT Manipulation still teaches kinematics, trajectory generation, and model-based control alongside learning.
⚠️ Myth: This book is only for PhDs.
✓ Reality: Authors target post-first-year engineering prerequisites (physics, linear algebra, ODEs, basic programming).

Sources