09 Aug

Weekly Update: Adding New Component (RoCo)

Kevin 'Yu Shuo' Chang

For the past week, I have been trying to add in more subcomponents to the RoCo system for the Furniture project. The shape that I have been working on is Pentagon. There are various problems that I encountered while trying to create this new component. The codes below are the python codes I wrote up for the Pentagon Component.

Figure 1: This is the face module for the Pentagon component.

Figure 2: This is the python code for the Pentagon Component.

A new Component will follow the basic coding structure of defining its parameter, face, and interface (Figure 1). Each new component would also need a new face module that will define its face interface (Figure 2). I follow this coding format and created a new Pentagon component. However, when I try to use the add_subcomponent function to create a Pentagon component, I would get the following error (Figure 3).

Figure 3: This is the error message I got when I tried to create a Pentagon component.

To figure out what is causing this problem, I created a test.py component, which have the exact same code as the Rectangle component, and tried to create this new component in RoCo. The reason why I used the same code as the Rectangle component is becasue I know that the code for Rectangle component is bug free, therefore, if I got the same error message, then the error is not cause by the code in the Pentagon.py. I end up getting the same error message shown in Figure 3. From this, I know that the cause of this error message is not because of the code I wrote since we know that the Rectangle component is working properly. With more debugging, I figure out that the problem is caused by the format of the file and class name. The class name of the component has to be camel case (First letter is upper case) and the file name have to have the same name as the class name.

After I made this change to the Test.py component, I was able to add the new Test component using add_subcomponent. However, when I applied this correction to the Pentagon Component, I still got the same error message. I will continue working on the code to figure out cause of the problem.

Next Post Previous Post

Search

Popular Tags

foray origami robots blimp ducky vr edg SLAM computer vision computational design roco slam Origami rocolib arduino RoCo design Robot Compiler simulation Motion Planning autonomy edg-model create; kalman filter; mesh reinforcement learning; multi-agent; mean-field; logics imu contacts mesh network motors esp32 friction networking tank dynamics pushing auxetic esp now machine learning multi-agent visual processing communication wireless control i2c webapp ROCO pcbs structure path planning computer skill cars openmv Robotica reinforcement learning power consumption modeling origami dataset test visual odometry surface structure dash port-arrays Battery DARPA motor gondola machine vision controller semantic paper auxetics infrastructure feedback gestural interface frequency diversity mixed reality robot Consensus bistable auxetic unit cell gestural intuition crawler darpa; create; logic create; kalman filter; EM; structures Foray network open house propeller lidar sensors apriltags 433mhz optimization Quantum Information 4-wheeled FORAY perception control environmental design refactoring icra2021 radio Kullback-Leibler Divergence crazyflie DER Auxetics lasercutter distributed optimization blynk gate von Mises Fisher Distribution pushing problem experiment results or nodemcu offline reinforcement learning exam research proposal conference object detection simulink webots project management modeling contacts tutorial thrust IR motor configuration integration test localization UAV legs joystick altimeter decentralized ros2 balloon test painlessmesh mesh networking swarm vision processing arnhold matlab fusionbot RL arduino nano multi-agent path planning gazebo PCB rviz2 nonholonomic systems Integrated Demo reinforcement learning; slam; paper review vision Short Post trajectory optimization edg-examples serial monitor python Model-Free Machine Learning Q-Learning rssi controls feedback-controlled grant writing system ID multirobot system signal strength quasi-static pushing marginal cost pricing in-situ design IROS neural network hot plates cell reinforcement learning; multi-agent; mean-field; game theory; mean field; reinforcement learning current reinforcement learning; multi-agent; Xbee Zigbee robot compiler origami robot deployment spi dynamic modeling rhino boat literature review multipack buoyancy equations contact surp paper review Writing motorized boats throughput range surfaces ML reservoir computing multi-agent path finding solar cars detectionrate distance shape color edg-ide pain Characterization tool concept surface contact liquid crystal elastomer conferences release peripheral device differential keyboard swarm control car von Mises-Fisher von Mises Fisher port-array quasi-static modeling Kalman Filter Zero Elastic Energy modes Liquid Crystal Elastomers Discrete Elastic Rods Consensus Algorithms power pivoting Learning 3D-CHESS; kinematic_model elastic polymers 2.4 GHz 433 MHz creative Computer skill internal misc edg-refactoring 433 ceres debug coriolis force structured field dynamic model proposal wtf deep learning interpolation wireless signal strength reinforcement learning; multi-agent; decentralized reinforcement learning; multi-agent; mean-field; stationary demo video flytrap papers steering plastic multi-object tracking pvdf prelab actuation von Mises Distribution Barycenter Multi-Agent Systems integration flapping color_segmentation center of friction lab_data result segmentation on multiple object and centers finding competition ZMP buoyancy current sensor multiple blimps battery pid defender Synthesizable Radio integrated system 3d printing catching mechanism kalman filter barometer detection balloon slam; flowchart; depth estimation grid chiral square unit cell state space multi-robot pressure distribution model prediction thrust configuration kalman filter; ESP32 paper cutter COVID 19 manipulation fabrication code hardware offline Rl firmware protobuf #activecapturingmechanism #claw ensemble methods Bayesian networks 3D-CHESS; kalman filter bootstrapping model-based RL boxboat tracking lift force cad nylon scenic adaptive control motor driver MIMO communications Euler-Bernoulli beam newton's method spring-mass submission kalman filtering point cloud 2.4ghz latency der codesign sma-based actuator presentations machine training cameras preliminary exam multiple devices inkscape material delta tolling semantic segmentation instance segmentation pdms silicone optitrack multirobot solidworks ICLR design tool board design HDL pixracer pixhawk ardupilot flight controller regression fly test motor distribution Python DNN ICRA game theory ICML guassian processes probabilistic neural networks graph generators MBRL ide batch learning ros sensor fusion von Mises-Fisher Distributions edg-compiler Bessel functions iot