Robohub.org
 

NAIST OpenHand M2S released


by
16 February 2017



share this:

The NAIST OpenHand M2S was developed by a team of students as part of the school’s annual CICP project (read the blog post about it here), in which students can propose and organize their own research projects. Based on the Yale OpenHand M2, the NAIST OpenHand M2S was developed for textile manipulation, sensitive grasping as well as pinpoint pushing with high loads. All of the parts (except motors, sensors etc.) can be downloaded from here and 3D printed.

For grasping and manipulation, the hand is equipped with two 3D force sensors that act as fingertips. Using these, the hand can gently grasp textiles and let them glide through its fingers, pull them taut when tension is required, and even recognize different materials. By rubbing its fingertips together, a force signal is generated which allows the hand to sense if it successfully grasped a textile, and which kind of material it is.

Lastly, the rigid finger of the hand allows it to push with high loads and tuck into small openings. This can be used for tasks like making a bed, but also during the manufacturing of a car or airplane seat, which is part of the team’s research. Future versions of the hand will be able to pick up thin objects from a table easily without moving the robot.

You can read the conference paper here. Download the 3D files here, to use the gripper in your own research.


If you liked this article, you may also enjoy these:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , , , , , , , , , ,


Felix von Drigalski is a Ph.D. candidate in the Robotics Laboratory of the Graduate School of Information Science at NAIST.
Felix von Drigalski is a Ph.D. candidate in the Robotics Laboratory of the Graduate School of Information Science at NAIST.





Related posts :



#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

  15 Sep 2025
Jaeho argues that the AI conference peer review crisis demands author feedback and reviewer rewards.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.

Robots to the rescue: miniature robots offer new hope for search and rescue operations

  09 Sep 2025
Small two-wheeled robots, equipped with high-tech sensors, will help to find survivors faster in the aftermath of disasters.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

Researchers are teaching robots to walk on Mars from the sand of New Mexico

  02 Sep 2025
Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars

Engineering fantasy into reality

  26 Aug 2025
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.

RoboCup@Work League: Interview with Christoph Steup

and   22 Aug 2025
Find out more about the RoboCup League focussed on industrial production systems.

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

and   21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence