Robot 101: Learning to work with humans – Robotics @ MIT
In the control group, which instead used active reinforcement learning, “you can see the person hesitate and wonder what the robot will do next,” Shah says. “When the robot moves, the person pulls their hand out of the space. But with the cross-training, the person is more confident about what the r
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
In the control group, which instead used active reinforcement learning, “you can see the person hesitate and wonder what the robot will do next,” Shah says. “When the robot moves, the person pulls their hand out of the space. But with the cross-training, the person is more confident about what the robot will do, and is more likely to leave their hand in the shared space.” [...] Working in the Interactive Robotics Group at MIT’s Computer Science and Artificial Intelligence Laboratory, Shah is tak
Common questions
What will I learn in Robot 101: Learning to work with humans – Robotics @ MIT?
In the control group, which instead used active reinforcement learning, “you can see the person hesitate and wonder what the robot will do next,” Shah says. “When the robot moves, the person pulls their hand out of the space. But with the cross-training, the person is more confid
Is Robot 101: Learning to work with humans – Robotics @ MIT free?
HumanoidHub has not verified public pricing for this guide. Open MIT OpenCourseWare for the current access terms before enrolling.
Do I need any prerequisites?
Recommended prep: Basic Python familiarity; Comfort with algebra or calculus basics; Interest in robotics systems.
How long does it take?
Self-paced (provider defined). Most learners complete this guide in self-directed sessions over a few weeks.
Does it offer a certificate?
This guide does not include a formal certificate. Focus is on the learning material itself.
Related guides
A faster way to teach a robot
A new technique enables a human to efficiently fine-tune a robot that failed to complete a desired task with very little effort on the part of the human. Their system uses algorithms, counterfactual explanations, and feedback from the user to generate synthetic data it uses to quickly fine-tune the
Unit 8. Robotics | Brains, Minds and Machines Summer Course | Brain and Cognitive Sciences
This page summarizes the unit topic and activities, and links to lecture videos, notes and further study resources.
[PDF] Children, Humanoid Robots and Caregivers - MIT CSAIL
Conclusions This paper described a framework for developmental object perception and learning on a humanoid robot, which aims at teaching humanoids as children. We described algorithms to learn about the robot’s self appearance and its surrounding world. The epige-netic principle established the fou
[PDF] Foundations for a Theory of Mind for a Humanoid Robot - Research
• Chapter 8 : Detecting Faces and Head Pose One final primitive perceptual process will be required. The robot will need to find human faces in the visual scene and to extract the orientation of the head as a measurement of where that person is attending. This orientation direction will be used later
[PDF] Humanoid Robots: A New Kind of Tool
In 1993, we began a project aimed at con-structing a humanoid robot for use in explor-ing theories of human intelligence.1,2 In addi-tion to the relevant engineering, computer architecture, and real-time-control issues, we’ve had to address issues particular to inte-grated systems:What types of sens
[PDF] Real-Time Interactive Reinforcement Learning for Robots
Particularly, we believe that the transparency of the learner’s internal process is paramount to the success of the tutorial dialog. However, a fine balance must be struck be-tween engulfing the human teacher with all pertinent infor-mation, and leaving them in the dark. A central goal of the presente
Robots that use these skills
HiWonder TonyBot Humanoid Robot Kit
Hiwonder
Hiwonder TonyBot is a small humanoid (biped) robot kit for STEM learning with 16 DOF servo joints and app/program control.
SE01 Humanoid Robot
EngineAI
EngineAI SE01 is a full-size bipedal humanoid focused on smooth, human-like gait for research and industrial applications.
1X EVE
1X Technologies
1X EVE is a wheeled humanoid robot from 1X Technologies aimed at mobile service work in institutional and industrial settings.
Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.
Join referral listNew robots, industry moves, and funding in your weekly robotics briefing.
Unsubscribe anytime.