[PDF] Robots for the Human and Interactive Simulations - Stanford University
This framework was integrated with our haptic render-ing system to provide a general environment for interac-tive haptic dynamic simulation. Figure 2 shows a user hap-tically interacting with a simulated humanoid robot. The haptic device serves as a 3D position input and force output device. By movi
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
This framework was integrated with our haptic render-ing system to provide a general environment for interac-tive haptic dynamic simulation. Figure 2 shows a user hap-tically interacting with a simulated humanoid robot. The haptic device serves as a 3D position input and force output device. By moving the end-effector of the haptic device, the user is able to specify a manipulation task for the humanoid robot in real time. At the same time the force output of the device is used to reflect the ine
Common questions
What will I learn in [PDF] Robots for the Human and Interactive Simulations - Stanford University?
This framework was integrated with our haptic render-ing system to provide a general environment for interac-tive haptic dynamic simulation. Figure 2 shows a user hap-tically interacting with a simulated humanoid robot. The haptic device serves as a 3D position input and force ou
Is [PDF] Robots for the Human and Interactive Simulations - Stanford University free?
HumanoidHub has not verified public pricing for this guide. Open Stanford Online 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?
1 hours total. 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
Training a Robot to Shape Letters from Play-Doh | Stanford HAI
Stanford’s RoboCraft learns to mold deformable objects from visual cues, a capability that could lead to more useful home assistants.
A neural blueprint for human-like intelligence in soft robots
A new AI control system enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. The work was co-led by researchers at the Singapore-MIT Alliance for Research and Technology (SMART
A new model offers robots precise pick-and-place solutions
SimPLE (Simulation to Pick Localize and placE), a new model developed by MIT researchers, learns to pick, regrasp and place objects using object’s computer-aided design (CAD) model
Industrial Robotics
Image 3Preview this course # Industrial Robotics Mathematical models and practical applications Created byFabrizio Frigeni Last updated 9/2019 English Image 4Preview this course Purchase options Subscribe and save From$13.00/month Access to 28,000+ top-rated courses Cancel anytime
Lecture 8.4: Stefanie Tellex - Human-Robot Collaboration | MIT Learn
<p><strong>Description: Human collaboration with robots that perform actions in real-world environments, carry out complex sequences of actions and actively coordinate with people, establishing a social-feedback loop. <p><strong>Instructor: Stefanie Tellex
Social robots and virtual agents as lecturers for video instruction
Brown, L., Kerwin, R., & Howard, A. M. (2013). Applying behavioral strategies for student engagement using a robotic educational agent. In Systems, Man, and Cybernetics (SMC), 2013 IEEE international conference on (pp. 4360–4365). IEEE. Byrne, D. E. (1971). The attraction paradigm. Academic Press (v
Robots that use these skills
Albert Hubo
HUBO
Albert HUBO is a KAIST HUBO-platform humanoid with an expressive Einstein-like animatronic head for HRI demos and research.
ARI
PAL Robotics
ARI is a human-size wheeled service robot from PAL Robotics for human–robot interaction in public spaces and labs.
GR-2 Humanoid
Fourier Intelligence
Fourier Intelligence GR-2 is a bipedal humanoid robot platform in the GRx series intended for embodied AI research and application development.
Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.
Join referral listNew robots, funding, and signals. Every Thursday.
Unsubscribe anytime.