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Questions tagged [robotics]

For questions and clarifications about the use of AI/ML algorithms in the field of robotics.

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19 views

I want to apply reinforcement learning to a manipulator. Seeking advice!

I am a university student currently studying reinforcement learning. I am trying to apply RL to a manipulator for the first time and feel a bit overwhelmed, so I would greatly appreciate any advice ...
2 votes
0 answers
24 views

Are PDDL and classical planners (e.g. FF) used in industry or consumer products?

I am learning classical planning techniques, and I know many examples of robots are in books. However, I am more curious about the real-world usage of these techniques. Are PDDL and classical planners ...
1 vote
1 answer
1k views

Given an axis-angle rotation vector, how can I find the unit rotation axis and angle?

I have a robotics assignment, which I am unable to solve. Given the axis-angle rotation vector $\Theta = (2, 2, 0)$, how can I calculate the unit vector of the rotation axis $k$ and the angle $\theta$?...
1 vote
0 answers
26 views

Why some papers focus on constructing large dataset from real robots, instead of simulations?

Recently, I have seen papers about large datasets for robotics such as DROID(https://droid-dataset.github.io/) or Open X-Embodiment(https://robotics-transformer-x.github.io/). As I see, the datasets ...
0 votes
1 answer
44 views

RL simulation: Does the Gym-like RL training solution fits the real-world environments?

I am new to the RL community and I am working on projects about using RL to control robots like drones to fly in the scenes. I have been using Nvidia's Issac Gym for some time, but I have a question ...
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0 answers
12 views

How to calibrate IMU for large scale deployments possibly using deep neural network

We were testing our visual SLAM algorithm on robots. We were getting poor performance. Then we calculated wite noise and random walk parameters (using kalibr) for the IMU and used it in our algorithm ...
1 vote
1 answer
91 views

Which type of Machine Learning is used in robots? [closed]

Which type of Machine Learning is used in robots? Is it supervised learning or unsupervised learning or Reinforcement learning? Especially the robots that were sent in space?
0 votes
0 answers
21 views

Book suggestion about deploying real deep learning models in real world

Can you suggest books about deploying machine learning algorithms on robots, especially on real time stream? I don't know how to deal with latency and other challenges that real time inference/stream ...
3 votes
0 answers
45 views

What is the current state of AI regarding features of Moravec's paradox, such as sensorimotor & perception skills?

Moravec's paradox is the observation in artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception ...
2 votes
3 answers
670 views

Is robotic process automation related to AI/ML?

I am trying to understand if robotic process automation (RPA) is a field that requires expertise in machine learning. Do the algorithms behind RPA use machine learning except for OCR?
1 vote
1 answer
368 views

Reinforcement Learning vs Supervised Learning [duplicate]

I have never tried reinforcement learning in my life. I'm planning to apply it in robotics. I have some experiences using supervised learning mainly deep learning. So, that's mean I will use neural ...
7 votes
1 answer
137 views

What would the Valkyrie AI robot do on Mars?

I was reading that the Valkyrie robot was originally designed to 'carry out search and rescue missions'. However, there were some talks to send it to Mars to assist astronauts. What kind of specific ...
2 votes
1 answer
274 views

Can I train an agent with DQN, avoiding obstacles and still finding the optimal path to finish the task?

The agent is supposed to visit specific locations (which is also different each time) and it may encounters obstacles. The goal is to visit those locations with the shortest path possible without ...
3 votes
1 answer
196 views

Can DQN find optimal path while avoiding random obstacles?

Can an agent trained with a DQN algorithm in a grid world, avoid obstacles (randomly appearing during the run time) and still find the optimal path to finish a task? The agent is supposed to visit ...
2 votes
0 answers
294 views

What are the limitations of hierarchical reinforcement learning?

Hierarchical Reinforcement Learning is suited to tackle many complex problems such as robotics manipulation. Sticking to this example, the basic idea is that instead of learning a sequence of robotic ...
1 vote
3 answers
4k views

What are examples of applications of the Fourier transform to AI?

The (discrete and continuous) Fourier transform (FT) is used in signal processing in order to convert a signal (or function) in a certain domain (e.g. the time domain) to another domain (e.g., ...
3 votes
1 answer
153 views

How can genetic programming be used for path planning?

I have been reading quite a few papers, on genetic programming and its applications, in particular, chapter 10 of "Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques ...
14 votes
1 answer
10k views

Are the dialogs at Sophia's (the robot) appearings scripted?

I talk about the robot from: Hanson Robotics, which was granted the right to citizenship from Saudi Arabia. I have found the following articles: Your new friend is a humanoid robot Source: ...
3 votes
3 answers
388 views

How to achieve recognition of postures and gestures?

I'd like to investigate the possibility of achieving similar recognition as it's in Honda's ASIMO robotp.22 which can interpret the positioning and movement of a hand, including postures and gestures ...
2 votes
1 answer
176 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 ...
8 votes
1 answer
2k views

Which algorithm is used in the robot Sophia to understand and answers the questions?

Which algorithm is used in the robot Sophia to understand and answer the questions?
1 vote
1 answer
267 views

How can I calculate the shortest path between two 2d vector points in an environment with obstacles?

I have a 2D plane, with a fixed height and width of 10M. The plane has an agent (or robot) in the point $(1, 2.2)$, and an electric outlet in the point $(8.2, 9.1)$. The plane has a series of ...
8 votes
1 answer
185 views

How does Atlas from Boston Dynamics have human-like movement?

Discussing the video More Parkour Atlas, a friend asked how the robot's movement was so similar to the one from a real human and wondering how this is achieved? To my knowledge, this is not something ...
6 votes
4 answers
866 views

Is it possible to implement Asimov's Three Laws of Robotics?

Would it be possible to put Asimov's three Laws of Robotics into an AI? The three laws are: A robot (or, more accurately, an AI) cannot harm a human being, or through inaction allow a human being to ...
4 votes
0 answers
82 views

Difficulty in agent's learning with increasing dimensions of continuous actions

I have been working on some RL project, where the policy is controlling the robot using its joint angles.Throughout the project I have noticed some phenomenon, which caught my attention. I have ...
2 votes
0 answers
17 views

How do multiple coordinate systems help in capturing invariant features?

I've been reading this paper that formulates invariant task-parametrized HSMMs. The task parameters are represented in $F$ coordinate systems defined by $\{A_j,b_j\}_{j=1}^F$, where $A_j$ denotes the ...
1 vote
0 answers
14 views

How do I find the data-point with respect to a given frame?

I've been reading this paper that formulates invariant task-parametrized HSMMs. In section 3.1 (Model Learning), the task parameters are represented in $F$ coordinate systems defined by $\{A_j,b_j\}_{...
1 vote
0 answers
28 views

What is a wavefront algorithm?

I am designing and researching algorithms which I call of a wavefront nature. It is image analsyis agorithms when every pixel may change many times during the processing. I have heard this name before,...
1 vote
1 answer
62 views

Is it feasible using today's technology to use an AI training algorithm to custom teach a robot to do common household cores?

Like making a bed, washing dishes, taking out the garbage, etc., by training it on the video of specific individuals doing those cores in their own unique environments? I have researched what machine ...
2 votes
2 answers
1k views

How do I integrate Tensorflow with EV3DEV? [closed]

I've got a Lego Mindstorms EV3 with EV3DEV and EV3-Python installed. I wanted to try out artificial intelligence with the robot, and my first project is going to be to get the robot to try and ...
2 votes
0 answers
68 views

Reinforcement learning for segmenting the robot path to reflect the true distances

I have a grid of rectangles acting as blocks. The robot traverses through the inter-spaces between these consecutive blocks. Now I have sensor data streaming in representing Right and left wheel ...
4 votes
1 answer
382 views

Is possible to train a robot or AI to prune fruit trees?

I live in a rural area where there is a growing necessity for people with knowledge to prune Pear trees, this process is crucial for the industry, but as people go to the big cities, this skill is ...
1 vote
0 answers
145 views

Why haven't we solved the problem of bipedal walking?

This has been a mystery to me. All the walking robots look like idiots now. But we do have a lot of simulation-based results (Flexible Muscle-Based Locomotion for Bipedal Creatures ), so why can't we ...
3 votes
0 answers
59 views

How to deal with approximate states when doing path planning?

If one is interested in implementing a path planning algorithm that is grid-based, one needs to consider the fact that your grid points will never represent the true state of the robot. How is this ...
1 vote
0 answers
28 views

Drone Deployment Platform for Neural Networks

Good day everyone, 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 computer vision algorithms for ...
2 votes
1 answer
163 views

What is the most suitable AI technique to use for path planning?

I am making a firetruck using Arduino Uno with flame sensors and ultrasonic sensors to detect how to move and where to go. As this is a project for my university, I am asked to implement AI in it for ...
1 vote
0 answers
49 views

How can I avoid displaying the velocity in the updated tracklets?

In target tracking, the dimensions of objects change, especially if they are detected using a LIDAR sensor. Also, the static objects in consecutive frames are not 100% static, their position changes a ...
9 votes
1 answer
5k views

What are sim2sim, sim2real and real2real?

Recently, I always hear about the terms sim2sim, sim2real and real2real. Will anyone explain the meaning/motivation of these terms (in DL/RL research community)? What are the challenges in this ...
8 votes
6 answers
13k views

What is the difference between artificial intelligence and robots?

What is the difference between artificial intelligence and robots?
2 votes
0 answers
37 views

Algorithm to solve a fault independent of its type

I am looking to plan a solution for a workspace fault and not hardware faults. Consider a task where a robot has to move balls from one place to another. In case it faces any condition which is ...
3 votes
1 answer
6k views

How can I derive the rotation matrix from the axis-angle rotation vector?

Given an axis-angle rotation vector $\Theta = (2,2,0)$, after finding the unit vector $k=(1/\sqrt{2}, 1/\sqrt{2}, 0)$ and angle $\theta = 2\sqrt{2}$ representing the same rotation, I need to derive ...
0 votes
0 answers
60 views

How do I choose an appropriate fitness function and hyper-parameters to train a 7-DOF arm?

I am trying to train an ANN to control a 7 Degrees-Of-Freedom arm. It should reach a target avoiding a single obstacle. Given my modeling of the situation, my input layer is composed of 12 nodes: 5 ...
1 vote
1 answer
111 views

Robot Arm Deep Q Learning Actions

Hello I am new to reinforcement learning and robotics. So far I have an understanding of the concept on 2D world. You can make agent move one step in one direction. However, how do you define movement ...
2 votes
1 answer
649 views

how to normalize the state space for articulated robot environments?

What is the common representation used for the state in articulated robot environments? My first guess is that it's a set of the angles of every joint. Is that correct? My question is motivated by the ...
1 vote
0 answers
100 views

Using Artificial Intelligence for Robot movement instead of regular Inverse Kinematics

I am currently working with classical roboticists who insist on inverse kinematics, and what I (perhaps mistakenly) call the old way of thinking about robots accomplishing tasks. Much of the ...
2 votes
1 answer
67 views

SEIF motion update algorithm doubt

I want to implement Sparse Extended information slam. There is four step to implement it. The algorithm is available in Probabilistic Robotics Book at page 310, Table 12.3. In this algorithm line no:...
5 votes
1 answer
607 views

How have robots developed and how sophisticated might they be in the future?

We all know how robots are getting more and sophisticated and more interesting What is the future of robotics in relation to AI, how and how will AI work with robotics in improving to affect our ...
-1 votes
1 answer
621 views

Reinforcement learning for robotic motion planning - Problem statement ideas

I am a first-semester grad student in Robotics and have taken a course on machine learning for robotics. I am completely new to machine learning. I am to select and execute a problem statement on my ...
4 votes
2 answers
387 views

What AI concept is behind the Mars Exploration Rover (MER)?

The Mars Exploration Rover (MER) Opportunity landed on Mars on January 25, 2004. The rover was originally designed for a 90 Sol mission (a Sol, one Martian day, is slightly longer than an Earth day at ...
6 votes
3 answers
1k views

How do autonomous robotic vacuum cleaners perceive the environment for navigation?

How does a domestic autonomous robotic vacuum cleaner - such as a Roomba - know when it's working cleaned area (aka virtual map), and how does it plan to travel to the areas which hasn't been ...