cognitive robotics - object grasping · niryo one ros stack overview. robot manager node...

COGNITIVE ROBOTICS PROJECT

OBJECT GRASPING

Project requirements

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Intel® RealSense™ Depth Camera D435 NVIDIA® Jetson Nano™

Niryo One Robot Operating System

CameraThe only camera used is fixed on the end effector of the arm, making the environment more compact.

BoxesOnce the program has started, the boxes cannot be moved anymore.

BallsYou can add, remove and move the balls between each operating cycle.

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Constraints

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Software design

TRAJECTORY LISTENER NODEMoving Niryo One.

5NIRYO ONE ROS STACK overview

ROBOT MANAGER NODEChoose how to move.

6ROBOT MANAGER command list

VISION NODELook around.

7RGB VIDEO and POINT CLOUD acquisition

Intel® RealSense™ Stereo Depth TechnologyIn a similar way to how human vision works, stereo depth is used to provide the distance of a precise point in the visual field.

VISION NODELook around.

8DEEP NEURAL NETWORK recognition

MobileNet SSD v2 (COCO)Pre-trained to detect the location of 90 types objects from COCO dataset.Input size: 300x300Fine tuning for 8-classes target.

VISION NODELook around.

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0,98

0,63 0,78 0,92

0,7 0,81

0,28 0,

650,82

0,71

0,41 0,

76

RED BLUE GREEN WHITE

BALL RECOGNITIONPrecision Recall F1 Score

1 0,96

0,97

0,92

0,63 0,82

0,84

0,410,

77 0,88

0,9

0,57

RED BLUE GREEN WHITE

BOXES RECOGNITIONPrecision Recall F1 Score

0,89

5

0,64

25 0,72

75

MEAN VALUESPrecision Recall F1 Score

VISION NODELook around.

10DEEP NEURAL NETWORK confusion matrix

ENGINE NODEAchieve your target.

11ENGINE FLOWCHART

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VISUAL VERBOSE NODELet me show youwhat I’m doing.

PLANNED IMPROVEMENTS

› Managing an even more dynamic workspace› Improve the recognition of targets› Speed up the use of Niryo One Python API

… and surely contemplate a new and nicer hardware structure.

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THANKS!OBJECT GRASPING for Cognitive Robotics

Allegretti GiovanniDi Prisco GiovanniScaldaferri AntonelloSchettini Marco

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