High-Accuracy, Repeatable Wrist Interface

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Presentation transcript:

High-Accuracy, Repeatable Wrist Interface Pat Willoughby (pjwst10@mit.edu) Prof. Alexander Slocum, Advisor MIT Precision Engineering Research Group August 15, 2001

Overview of Common Coupling Methods Flexural Kin. Couplings Kinematic Constraint Pinned Joints No Unique Position Elastic Averaging Non-Deterministic Kinematic Couplings Kinematic Constraint Quasi-Kinematic Couplings Near Kinematic Constraint

Exact Constraint (Kinematic) Design Exact constraint means a component has an equal number of constrained points to number of degrees of freedom If component is over constrained, clearance and high tolerances required to prevent premature failure or assembly incompatibility Kinematic design means that the motion is exactly constrained and geometric equations can be written to describe its motion Kinematic Couplings constrain components exactly, commonly providing repeatability of ¼ micron or on the order of parts’ surface finish Managing Hertz contact stresses is the key to successful kinematic coupling design

Prototype Coupling Designs – Canoe Ball

Prototype Coupling Designs – Three Pin

Schematic of Three Pin Coupling Design Preload Bolt and Third Pin Two “Pins” on Arm Plate Two “Holes” On Wrist Plate

Prototype Wrist Plate Mounting Tests at ABB Robotics Vasteras, July/August 2001: Test static (bolted) and dynamic (5-point path) repeatability of canoe ball and three-pin wrist prototypes Test variety of preloads (canoe balls) Replacement in two orientations (45 and 90 degrees to ground) Measure tool point motion using Leica LTD500 Laser Tracker Repeatability of robot path + measurement system approximately 20 microns

Repeatability Performance Canoe balls vs. Normal Wrist @ 45 deg = 35% reduction Canoe balls vs. Normal Wrist @ 90 deg = 64% reduction Three-pin vs. Normal Wrist @ 45 deg = 44% reduction

Recommended Next Steps Test three pin coupling in lab setting for ideal case repeatability Adapt canoe ball design to fit into space of wrist Suggest production designs for different concepts Investigate: Three pin coupling in 90 degree position Effect of friction reduction using TiN coated elements or lubrication Coupling design independent of mounting position Applicability quasi-kinematic couplings Evaluate long-term dynamic performance

High-Accuracy, Quick-Change, Robot Factory Interface John Hart (ajhart@mit.edu) Prof. Alexander Slocum, Advisor MIT Precision Engineering Research Group August 15, 2001

Project Goals Design, test, and demonstrate production feasibility of a modular robot baseplate with kinematic couplings as locators: A repeatable, rapidly exchangeable interface between the foot (three balls/contactors) and floor plate (three grooves/targets) Calibrate robots at ABB to a master baseplate Install production baseplates at the customer site and calibrated the kinematic couplings directly to in-cell tooling Install robot according to refined mounting process with gradual, patterned preload to mounting bolts TCP-to-tooling relationship is a deterministic frame transformation Base calibration data handling is merged with ABB software, enabling 0.1 mm TCP error contribution from repeatability and exchangeability error of kinematic couplings

Prototype Coupling Designs Design 3-point kinematic coupling mounts for the 6400R foot: Canoe Ball Six “point” contacts 0.5 m radius ball surface 20 mm diameter elastic Hertzian contact Three-Pin Three line + three surface contacts In-plane preload overcomes friction to deterministically seat pins Vertical bolt preload engages horizontal contact surfaces

Prototype Coupling Designs Groove/Cylinder Twelve line contacts Aluminum cylinders Apply bolt preload (elastic deflection of cylinders) for dynamic stability

Prototype Base Mounting Tests at ABB Robotics Vasteras, July/August 2001: Static (bolted) and dynamic (5-point path) repeatability of canoe ball and three-pin interfaces Static (manipulator rest only) repeatability of groove/cylinder interface Test both basic (air wrench) and refined (torque wrench, greased bolts) mounting processes Measure tool point motion using Leica LTD500 Laser Tracker Repeatability of robot path + measurement system approximately 20 microns

Repeatability Performance Three-pin vs. BMW base = 83% reduction Canoe balls vs. BMW base = 85% reduction Cylinders vs. BMW base = 92% reduction Refined mounting vs. basic mounting = 50-70% reduction 8-bolt blue pallet repeatability (not shown) = 1.63 mm

Exchangeability Performance Simulate exchangeability error from manufacturing variation: Calibrate interfaces by measuring contacts and calculating interface error transformation Model direct measurement of pins + contacts, and offset measurement of canoe balls Exchangeability is error between calculated and true interface transformation, given chosen level of calibration and manufacturing tolerances (low, med, high) 250-trial Monte Carlo simulation in MATLAB at each calibration level Three-pin exchangeability: 0 = no interface calibration 3 = full (x,y,z) of pins and contact surfaces

Total Mechanical Accuracy “Quick-Change” Accuracy = Repeatability + Exchangeability (measured) (simulated) Canoe balls Three-pin Groove/cylinder 0.22 mm = 0.06 + 0.16* 0.12 mm = 0.07 + 0.05 - = 0.03** + (Incomplete) Interface calibration decouples accuracy from manufacturing tolerances of mounting plates and couplings (if direct measurement of contacts) Results show repeatability is highly f(mounting process) – this may present a performance limit for factory mountings; interface should be micron-repeatable under perfect conditions Totally, a near-deterministic prediction of robot interface accuracy *driven by error of offset position measurement **static only

Recommended Next Steps Test groove/cylinder interface with preload + motion Test traditional quasi-kinematic couplings Evaluate long-term dynamic performance Design production three-pin adaptation to BMW 2-pin base Evaluate canoe ball 4-point mounting for Voyager? Build kinematic coupling “Expert System” – combine test results, simulation results, etc. into design tool that gives minimum cost design recommendation and tolerance budget as f(accuracy requirement)