Questions tagged [machine-learning]

Machine learning is a branch of Artificial Intelligence concerned with the development of algorithms that adapt their behavior based on past observations. Examples of such algorithms include Artificial Neural Networks, Genetic Algorithms, Expectation-Maximization, and Support Vector Machines. Such algorithms are used for classifying previously unseen data and predicting future values of some unknown process.

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23 views

How well does object detection transfer from simulation to reality? [closed]

I'm looking to learn more about this sim-to-real gap. I'm new to the concept and am trying to understand what to look for. Most notably i'm curious about how well an object detection algorithm trained ...
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2answers
448 views

Reward Function for q learning on a robot

I have 2 wheeled differential drive robot which I use pid for low level control to follow line. I implemented q learning which uses samples for 16 iterations then uses them to decide the best position ...
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1answer
171 views

Motion planning with Gaussian Process Regression

I was recently introduced to Gaussian Process Regression (GPR). I read multiple papers regarding use cases of GPR in robotics, however, they were more or less very limited. Use case from the ...
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24 views

How can I calibrate 3 cameras and track the object using only synchronized cameras feeds from all the cameras?

I have camera feed (in the form of RGB images) from 3 cameras with partially overlapping Field-of-view i.e. for the time stamp 0 to 100, I have total 300 frames or say synchronized 100 RGB frames for ...
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1answer
35 views

Setting up rewards to account for UAV crashes (Reinforcement Learning)

I am working on a project to implement a collision avoidance algorithm on a real UAV. I'm interested in understanding the process to set up a negative reward to account for scenarios wherein there is ...
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1answer
39 views

Drone or UAV Platform for deployment of Deep Learning / Reinforcement Learning

Good day, It has been a while since I last posted. I would just like to ask if anyone part of a lab or company doing research on aerial robotics has any suggestions of a good platform for deploying ...
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21 views

Can supervised learning be used to solve the inverted pendulum problem?

I know that reinforcement learning has been used to solve the inverted pendulum problem. Can supervised learning be used to solve the inverted pendulum problem? For example, there could be an ...
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18 views

Creating a Raspberry Pi drone without Navio

I'm very interested in developing software to run an autonomous drone. Preferably using the raspberry pi. There is a lot of information on the internet, much of it is outdated and is extremely ...
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2answers
2k views

Uploading a trained ANN to an ESP32 board

I am working on a project that requires training a neural network with humidity and temperature values. After spending a while googling on how to run a neural network on ESP32 (Wemos LOLIN D32 Pro), I ...
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35 views

Rigid body system identification with machine learning, but how?

Most problems in robotics have to do with a controlling a system. An easy example for a system is the forward kinematic of a robot arm. A joint in the model gets a certain value, and as the result the ...
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5answers
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How can I create a robot like the EZ-B using a regular Arduino?

I am interested in building a robot like the EZ-B, sold by ez-robot.com. It comes with an SDK for Visual Studio and has direct scripting in runtime through a USB, Bluetooth, Wi-Fi, IRC or HTTPS ...
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1answer
126 views

Can a neural network emulate a physics engine?

Before a motion controller for a robot can be created, a step before is needed, called “system identification”. The aim is to create a prediction model which can say, what will happen if a certain ...
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2answers
320 views

Can high voltage power lines provide a super highway for drones?

Is there a way to convert the EM field that surrounds high voltage power lines for direct usable electricity for air or ground drones for continuous flight or travel? Added: Yes could the EM field be ...
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1answer
142 views

Machine Learning or Deep Learning libraries used in Robotics with FPGAs?

Question here opened the discussion on FPGAs on robotics applications. I would like to teach a LSTM RNN/CNN on border detection and feature detection on FPGA. Feature detection methods I would like to ...
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1answer
522 views

Role of Neuromorphic Computing and Quantum Computing in the field of Robotics and AI

I asked a similar kind of question some time ago (Neuromorphic Engineering and Robotics) Since then, many things have come to the point of revelation. A road-map for neuromorphic computing was ...
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2answers
922 views

Transforming Point Cloud to get Top Down Image [closed]

My task: I have a task where I am asked to track parcels(carton boxes) of different dimensions moving on a conveyor. I am using Asus Xtion pro camera mounted on top of a conveyor in any inclined ...
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3answers
63 views

What knowledge should I have if I want to establish a robotics company? [closed]

I know, robotics may refer to many things and it's extremely large field today. But if I can narrow the topic to something like Aldebaran(the company makes Nao robots), what knowledge should I have as ...
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4answers
183 views

Source of seminal papers in robotics

Is there a database or website that has collected the seminal papers in different disciplines of robotics like machine learning, AI, mobile robots, etc. By seminal I mean papers that made a path-...
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2answers
590 views

Is it possible to use neural networks with Arduino?

I've got a project in university to build a vehicle on Arduino and I'd like to implement reinforcement learning for it. The processors on Arduino, of course, are too slow for this task so here is my ...
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3answers
2k views

Virtual Testing Environment for Drones

Does anyone know of a robotics developer environment ideal for testing AI programs for drones (e.g. quadrocopters, planes, helicopters, etc.)? I would like something like Microsoft Robotics Developer ...
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3answers
3k views

PID tuning with (Deep) Reinforcement Learning

I am trying to implement a RL algorithm for an adaptive PID in a robot system. My doubt consists in the creation of the possible states in the problem. I mean, I understand quite well the problem ...
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4answers
27k views

Is it possible to run a neural network on a microcontroller

Could you implement a simple neural network on a microprocessor such as the Arduino Uno to be used in machine learning?
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2answers
387 views

Using Standard Digital camera for Computer Vision

For a University project I have to use computer vision to detect small drones within 40 feet. I know there exists a pixycam for this purpose, but I was not happy with it, when I used it for CV. I ...
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2answers
104 views

Can I create an autonomous robot that can adapt its strategy using machine learning?

BACKGROUND: I am creating a robot to score the most points in 30 seconds while running autonomously. Naturally, two thoughts come to mind: Linear programming and machine learning. Linear programming ...
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1answer
115 views

Motion primtive: machine learning vs. handcrafted

On Google Scholar there are a lot of papers which explain the advantages of motion primitive: instead of searching inside the state-space (configuration space of a robot) the solver has to search ...
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2answers
123 views

How can a DMP be used for simulating physics?

I read a paper from 2015, "Structural bootstrapping - A novel, generative mechanism for faster and more efficient acquisition of action-knowledge ", which introduces a concept called, "Structural ...
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2answers
5k views

Programming a line following robot with reinforcement learning

I am considering programming a line following robot using reinforcement learning algorithms. The question I am pondering over is how can I get the algorithm to learn navigating through any arbitrary ...
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1answer
96 views

How to make a robot? [closed]

For instance, how would you hook up a electric pump communicate with a motherboard? Let's say I buy a electric pump, I hook it up to some sort of metal structure that if the pump is turned on it moves ...
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1answer
94 views

Neural Nework code or library for MSP430G2553 microcontroller [closed]

I am new here and i am new to neural network also. :P I have gone through the concepts of Neural Networks but i want to implement it in my project including microcontroller MSP430G2553 on LaunchPad ...
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5answers
5k views

Learning Algorithms for Walking Quadruped

I'm building a 4 legged robot (quadruped) with 3 Degrees of freedom per leg. The goal of my project is to make this robot able to learn how to walk. What learning algorithms will I need to implement ...
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1answer
481 views

Which algorithms are used in autonomous robot [closed]

I am working on proposal of autonomous fire fight robots but I'm little bit confused about its sensor and algorithms. My friend suggested there are some path finding ...
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1answer
220 views

Robotic Manipulator [closed]

I have started working on robotic manipulators and got into a project which deals with control of robotic manipulator using artificial neural networks (solution of inverse kinematics and trajectory ...
2
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1answer
146 views

What is $\alpha \sin(\theta) + \beta \frac{d \theta}{d t}$ in the inverted pendulum problem?

I am preparing for an exam in neural networks. As an example for self-organizing maps they showed the inverted pendulum problem where you want to keep the pole vertical: Now the part which I don't ...
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1answer
59 views

Has hierarchical learning been embodied in a robot before?

I've been reading about hierarchical reinforcement learning (HRL) and it's applications. A well-written literature review on the subject can be found here. However, I was wondering if research has ...
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1answer
480 views

biped walking using Genetic Algorithm

I am working on a project but I lack advanced programming knowledge, especially about genetic algorithms. I am developing a prototype using WEBOTS 7.4.3 for the simulation. The project is to use ...
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3answers
2k views

Quadruped Learning Simulator

I'm currently building a robot with four legs (quadruped), 3 DOF (Degrees of Freedom) and Its been suggested here that I use a simulator to do the learning on a computer and then upload the algorithms ...
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2answers
206 views

Predicting the impact point of a moving object

Suppose we have a moving object (a horizontal projectile motion as one of the most basic examples). Is there any way to predict where it will hit finally? Please note that I'm looking for a machine ...
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2answers
229 views

Neuromorphic Engineering and Robotics

I have been into a boggling paper research on neuromorphic engineering and its implications on robotics applications, lately. It is relatively a less applied field and full of academic papers and ...
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2answers
1k views

Project Idea for a AI related project [closed]

I am a Computer Science final year undergraduate student.Until now,I used to shirk away from robotics as I believed that it is more related to electrical and mechanical aspects.But my interest in ...
5
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2answers
2k views

How much accuracy could I get position tracking with a 3-axis accelerometer and gyro sensor, and compass, and how would I do it?

Given a 12' x 12' field (4m x 4m), a reasonably cheap 3-axis gyro sensor and accelerometer, and compass, I plan to design a device capable of tracking its position to sub-centimeter accuracy for a ...
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4answers
6k views

Self learning maze solving robot using 8bit microcontroller?

I want to know if there is best algorithm and technique to implement self learning maze solving robot in 8 bit limited resource micro-controller? I was looking for some well optimized algorithm and/or ...
13
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5answers
1k views

What reward function results in optimal learning?

Let's think of the following situations: You are teaching a robot to play ping pong You are teaching a program to calculate square root You are teaching math to a kid in school These situations (i.e....
5
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1answer
172 views

classify if two adjacent surfaces belong to same object

I have a box (cuboid) lying on floor or table. So there are 6 surfaces of the box and 1 surface of the floor. If I take each pair of surface such that the surfaces are "adjacent" to each other, I get ...
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2answers
541 views

Simple Neural Network with hardcoded positions for walk optimisation

I'm building a quadrupedal robot that will learn how to walk. From the responses I got from asking if its possible to run a NN on a micro controller I realised I needed to think of a clever system ...
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3answers
1k views

Is an accelerometer sufficient to detect displacement, or do I need an INS?

Do I need a complex system (of gyros, accelerometers etc.) to detect if a robot has moved forward or can I simply use an accelerometer. I'm building a robot that learns to walk and I need to detect ...
7
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2answers
514 views

Decision trees for solving 2D inverse kinematics?

While experimenting with the OpenCV Machine Learning Library, I tried to make an example to learn the inverse kinematics of a 2D, 2 link arm using decision trees. The forward kinematics code looks ...
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2answers
1k views

Are inverse kinematics and reinforcement learning competitive techniques?

Are inverse kinematics and reinforcement learning techniques contending techniques to solve the same problem viz. movement of robotic manipulators or arm? By a glance through the wikipedia article, ...