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INTRODUCING PACEROBOTICS

Construction Automation

Welcome to PaceRobotics. Our primary goal is to automate some of the most repetitive tasks in Construction!
Through robotics we want to increase productivity, improve safety & quality and above all drive down costs to make top quality construction affordable for all!

 

FEATURES

Robot will increase productivity by 10x, reduce cost by 3x and improve quality of Wall Finishing!

MODULAR

With attachments can complete plastering, putty and painting!

QUALITY

On-the-go quality check and repair using AI & Computer Vision

VERSATILE

Offsets and openings handling through Computer Vision

SEMI-AUTONOMOUS

Robot can navigate and operate autonomously within a room!

CALIBRATION

State-of-the-art calibration to ensure accurate application and finish

ROBUST

High design life, low maintenance!

Computer Robot
 

OUR PROGRESS SO FAR

What we are building

We have completed our 1st concept prototype which can paint. We will be launching our pilot ready prototype early 2021!

 

Robot Vision

Our Robot identifies doors, windows and other openings/obstacles where wall finishing is not required. Recognition happens in real-time!

 

OUR TEAM

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AYUSHMOY ROY

  • M.Eng Mechanical Engineering, University of Sheffield 

  • M.S Robotics, University of Pennsylvania

  • 4 Years of Robotics R&D, Leadership experience in the Automotive and Agri-tech industries

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SRINIVAS K PAI

  • B-Tech – Civil Engineering

  • PGDM (Exec)-IIMK

  • 13 years of experience in construction project management spread across diverse sectors - Residential buildings, IT parks, Highways, and Industrial Buildings.

  • 4 Years of entrepreneurial experience as a partner at a Design and Project Management consulting firm handling Private Residences and Corporate interiors

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SUKRIT GUPTA

  • MSc. Systems and Control, Delft University of Technology (TU Delft)

  • BTech. Electrical and Electronics Engineering, VIT Vellore

  • A Roboticist with interests in the areas of Autonomous Navigation of Mobile Robots and Machine Learning. 

  • Research experience with addressing the problem statement of Motion Planning of AGVs using Deep Learning.

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SHREEDHAR RANGAPPA

  • Ph.D. in Computation Imaging from Loughborough University, UK

  • M.Sc. in Mechatronics Systems from Kingston University, UK

  • BE in Electrical and Electronics from Visvesvaraya Technological University, Karnataka, India.

  • 5 years of experience as a researcher in the areas of Computer Vision and Software Development.

  • 3 years of experience in Computer vision,  Deep Learning, and Machine Learning, along with 2 Innovate-UK projects.

 

CONTACT US

+91 9148201993

 

©2020 by PaceRobotics.