logo

Mobile Robots with Novel Environmental Sensors for Inspection of Disaster Sites with Low Visibility

Source: EU Funding & Tenders Portal

Project
Ended

SmokeBot is driven by the application needs for robots that operate in domains with restricted visibility. The focus is on civil robots supporting fire brigades in search and rescue missions, e.g. in post-disaster management operations in response to tunnel fires. Existing sensor technology and the related cognitive approaches cannot cope with such demanding conditions. SmokeBot addresses this sho

Project Information FAQ

Project Information

5 Q
The project "Mobile Robots with Novel Environmental Sensors for Inspection of Disaster Sites with Low Visibility" is an infrastructure initiative in the Geothermal, Broadband, Tunnel, Advanced Electronics, Manufacturing (Industrial), Commercial, Education, Telecommunications, Electric Vehicles (EVs), Automotive sector, located in N/A, Sweden. Taiyo aggregates data from EU Funding & Tenders Portal, including information on sponsoring government bodies, EPCs, and contractors.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

SmokeBot is driven by the application needs for robots that operate in domains with restricted visibility. The focus is on civil robots supporting fire brigades in search and rescue missions, e.g. in post-disaster management operations in response to tunnel fires. Existing sensor technology and the related cognitive approaches cannot cope with such demanding conditions. SmokeBot addresses this shortcoming and can thus bring about a step change for robotics. It will deliver software and hardware components which facilitate robot systems to perform under harsh conditions of smoke, dust or fog. This will be demonstrated through integration of the project results in an industrial prototype of a Low Visibility Explorer Robot for providing situational awareness based on a commercial platform from partner TAUR. In close collaboration with TAUR (robotics industry) and end users (FDDO, end users in the advisory group), SmokeBot will crucially improve the abilities of the selected platform, thus increasing safety of rescue staff and European citizens as well as improving the product of a European robotics company in an important market. An even wider impact is expected through the development of a novel sensor unit and the corresponding cognitive approaches. In addition to traditional sensors such as LIDAR and cameras, which are affected by smoke or dust, this sensing unit includes also a novel 3D radar camera, a thermal camera, and high-bandwidth gas sensors. Fusion of sensor modalities will allow the inclusion of measurements from LIDAR and camera into the world model when they occasionally penetrate through e.g. smoke. In addition, we will develop the means to integrate prior knowledge in the form of crude human sketch maps to allow for robust mapping and navigation even under low visibility in a harsh environment. Sensor technology from SmokeBot will result in new products to be brought to market after the project. Software developed will be made available as open source.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data