The Michigan Engineer News Center

CEE Coauthors Bharadwaj Mantha, Carol Menassa and Vineet Kamat receive best paper award

Doctoral CEE student, Bharadwaj Mantha, and two CEE professors were awarded the ISARC Best Paper Award at the International Symposium on Automation and Robotics in Construction.| Short Read
EnlargeBharadwaj Mantha
IMAGE:  Bharadwaj Mantha

Doctoral student Bharadwaj Mantha, Assistant Professor Carol Menassa and Professor Vineet Kamat were awarded the ISARC Best Paper Award at the 33rd International Symposium on Automation and Robotics in Construction (ISARC 2016) that was held July 18-21, 2016.

They received the recognition for their paper, Semi-Autonomous Mobile Robots for Ambient Data Collection in Indoor Environments.

This paper proposes a mobile robotic data collection platform for gathering energy and comfort related data in real-time inside building environments. This data can be utilized for further simulation analysis and decision-making. The fiducial marker based navigation and drift correction algorithms developed to facilitate the robotic platform navigation in a building are discussed in detail. This method successfully achieves the navigation task by providing directional navigation information along with drift correction at critical discrete locations instead of the traditional continuous updating process, which is computationally intensive.

The objective of the annual ISARC Best Paper Award is to recognize the best contribution to the body of theoretical or practical knowledge in construction automation and robotics presented at the yearly symposium of the International Association for Automation and Robotics in Construction.

Bharadwaj Mantha
Jessica Petras


Jessica Petras
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Department of Civil and Environmental Engineering

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GG Brown 2105E

  • Carol Menassa

  • Vineet Kamat

A render of PSP approaching the sun

Solving the sun’s super-heating mystery with Parker Solar Probe

Probe will go where no spacecraft has gone and measure a process never directly observed before. | Medium Read