RobotForge

Track 08

Manipulation

The hardest open problem in robotics. Grasping, pick-and-place, and the dexterity that still separates robots from humans.

10 published · 0 planned · 10 lessons total

  1. 01

    What 'pick-and-place' actually involves

    Published

    Moving one object from A to B sounds trivial. It's the unsolved problem most of robotics research is still chipping at. Here are the five steps that hide under the phrase.

    ~12 min

  2. 02

    Grasp analysis: form and force closure

    Published

    Why one grasp holds and another slips. The classical theory of stable contacts — form closure, force closure, friction cones — that still defines the vocabulary every modern grasping system speaks.

    ~15 min

  3. 03

    Grasp planning with deep learning

    Published

    Dex-Net, Contact-GraspNet, and the model families that ate the grasp-planning world. How they work, what they need, and the workflow that gets you a working grasper in a weekend.

    ~15 min

  4. 04

    MoveIt 2 for manipulation: pick-and-place, constraints, dual-arm

    Published

    Beyond the framework's setup — the manipulation patterns that actually ship. Attached collision objects, grasp constraints, dual-arm coordination, and the real-world workflow.

    ~16 min

  5. 05

    Trajectory generation for arms

    Published

    A planned path is geometry. A trajectory is geometry plus timing. Time-optimal vs jerk-limited, trapezoidal vs S-curve, and the practical patterns for safe motion near humans.

    ~13 min

  6. 06

    Impedance control for assembly

    Published

    Why peg-in-hole needs compliance — and how to add it to any arm. Compliance directions per task, search strategies, tactile feedback, and the integration with vision that turns a 90% pipeline into 99%.

    ~14 min

  7. 07

    Non-prehensile manipulation: pushing, flipping, sliding

    Published

    Moving objects without grasping. The math of pushing under friction, the patterns of flipping, and why the latest VLAs are starting to handle the kind of dexterity that used to need a careful human hand.

    ~13 min

  8. 08

    Dexterous manipulation: the hard problem

    Published

    Multi-finger hands, in-hand reorientation, and why this is still mostly a research frontier in 2026. The classical theory, the 2018–24 deep-learning revolution, and the open questions.

    ~14 min

  9. 09

    Mobile manipulation: arm + base coordination

    Published

    An arm on wheels. Whole-body planning, the redundancy that buys you reach, the pitfalls of moving while carrying. The architecture behind every household robot in 2026.

    ~14 min

  10. 10

    Tactile sensing in manipulation

    Published

    GelSight, DIGIT, BioTac, e-skins — the sensors that finally give robots hands with feeling. What they measure, what to do with the data, and the workflow that turns 90% grasps into 99%.

    ~13 min