Robohub.org
 

Futuristic vehicle interface with a predictive direct and gesture based input system from Alps Electric


by
17 October 2012



share this:
12-0185-r

Alps Electric has developed a next-generation vehicle interface, created using its own sensors and input devices. The interface consists of a Multi-Modal Commander, allowing for direct and gesture based input, as well as a Haptic Shifter which changes settings according to the situation.

The Multimodal Commander is a hemispherical device with a capacitive sensor and a near-infrared sensor. It can be operated intuitively not only by touch, but also by moving your hand around it. It also supports gesture input, using the space at the top of the device.

“The system has to detect whether the user is really reaching out to use it, or is just moving their hand nearby. This detection is done by creating a kind of curtain with infrared. If a hand goes inside the curtain, and gets close to the Commander, the system deduces that the hand is approaching to use it.”

On the other hand, the Haptic Shifter, a next-generation shift lever, enables the shift gate and load settings to be changed, in line with the user’s preferences.

“Haptic technology means we can create a variety of sensations. This device can change the shift gate from I to H shaped. It can also guide the user automatically when changing from low gear to second.”

In addition, those operations can be predicted, through the behavior-predicting IR sensor. This enables the device guidance capability to be called up before a device is touched. This is achieved using optical flow to detect hand motion vectors. The system can also guess who the user is, so it can provide different menus for the driver’s and passenger’s seats.

“We’d like to release this in 5 to 6 years. We’d like to market it not only for operating all kinds of equipment, but also as a way of making cars adapt to people. That would make cars fun to drive, by combining entertainment with driving.”




DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.
DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Entangled robotic matter with cohesive motion

  15 Jun 2026
Engineers have developed a robotic collective that behaves less like a machine and more like a material that flows.

Robot Talk Episode 160 – Robotic blacksmiths, with Edward Mehr

  12 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Edward Mehr from Machina Labs about their RoboCraftsman that shapes complex metal parts for the aerospace, defence, and automotive industries.

Congratulations to the #AAMAS2026 best paper award winners

  08 Jun 2026
Find out who won in the categories of best paper, best student paper, and best blue sky paper.

Robot Talk Episode 159 – Robot sensing and manipulation, with Maria Koskinopoulou

  05 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Maria Koskinopoulou from Heriot-Watt University about autonomous robotic manipulators for surgery, industry, and beyond.

Global robotics technology roadmap

  03 Jun 2026
A multi-regional, cross-domain strategic perspective for Europe, Asia, and the United States.

RoboChem Flex: democratisation of the autonomous synthesis robot

  02 Jun 2026
A versatile, modular design and the option for "human-in-the-loop" analytics.

Robot Talk Episode 158 – Autonomous robot deliveries, with Ahti Heinla

  29 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Ahti Heinla from Starship Technologies about their AI-powered delivery robots that operate independently on streets and pavements.

Light-activated gel could impact wearables, soft robotics, and more

  28 May 2026
In the field of ionotronics, data are transferred through ions, potentially providing a bridge between electronics and biological tissue.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence