Topics In Demand
Notification
New

No notification found.

Blog
Peer Robotics: Autonomous Collaborative Robot (COBOT)

October 14, 2020

187

0


Listen to this article



Whether it’s the automobile, semiconductor, or pharmaceutical industry, on-time delivery of goods from one station to another is key to productivity. The major challenges of a typical manufacturing plant/warehouse include:

  • Production labour & resource planning
  • Lack of real-time data leading to challenges in material flow optimization
  • Changing product line requiring a considerable change in layout/processes & current automation not being flexible to adapt as per those changes, leading to huge downtimes
  • Human introduced inefficiencies like Misplaced inventory, idling, human fatigue due to long work hours

Further, in the post COVID scenario, normal manual operations of the industry have got hampered, particularly in the manufacturing & logistics sector. Hence organizations are exploring collaborative robots to execute these tasks safely & efficiently.

NASSCOM CoE Gurugram incubated, Peer Robotics, has developed a Collaborative Autonomous robot for warehouse automation and material handling in manufacturing facilities,  which can seamlessly navigate through complex environments without any change in the existing infrastructure.

Called the RM100, it is integrated with the patented force feedback based mechanism that allows it to detect external human force and activates the drive in the direction of guiding force. Using sensor fusion from multiple onboard sensors, RM100 can localize itself in any complex surrounding, reducing any human effort to provide initial position data to the robot. It has a payload capacity of 100kg. A bot simply doing pick & place has limited functionality but RM100 has the capability that allows mounting of multiple attachments like manipulators, gripper arms, welding torches etc on its chassis to make it multifunctional.

Peer Robotics - Autonomous Collaborative Robot

Peer Robotics – Autonomous Collaborative Robot

Benefits of RM 100 Collaborative Autonomous robots:

  1. Operators with no experience can program the robots. It takes 1-2 hrs for reprogramming the robots
  2. It is capable of performing multiple tasks like Material Handling, Package Sorting, Visual Inspection, etc.
  3. It is completely safe to work along with humans and0% investment required in safety infrastructure

Peer Robotics also provides a simulation of the facility with the bot deployed, even before the actual deployment to assess the impact of the solution for the enterprise.

Peer Robotics - Autonomous Navigation simulation

Peer Robotics – Autonomous Navigation simulation

 

Some of the notable deployments of Collaborative Robots include:

Client: Siemens

Use Case: Remote Visual Inspection based teleoperation and movement of CMR robot in the manufacturing plant & substation

Impact: Faster & efficient way to perform visual inspections in the large & hazardous area

 

Client: India’s largest passenger vehicle automaker

Use Case: Perform autonomous inventory checking and provide real-time and accurate inventory data

Impact:

  • TAT for inventory movement reduced by 3X
  • It allows the workforce to focus on more cognitive tasks

 

Client: Delhi based Logistics chain

Use Case: Streamline internal logistics, working next to humans with no infrastructure change

Impact:

  • Reduction in order processing times while reducing picker’s walking time
  • Reduction in workplace accidents as the solution is safer & more reliable as compared to forklifts

 

Product Video: https://www.youtube.com/watch?v=vpWMuc_esPY&feature=youtu.be

 

Peer Robotics is led by Rishabh Agarwal, Tanya Raghuvanshi & Alok Kumar. Rishabh & Tanya are IIT Delhi alumni. Prior to co-founding Peer Robotics, Rishabh was with Siemens, Alok was with Interra Systems & Samsung and Tanya worked with Interra Systems, Hi-Tech Robotics & Adobe.

For more details on the solution, please contact shantanu@nasscom.in


That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.


© Copyright nasscom. All Rights Reserved.