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Researchers at IIT Madras have developed a motion planning algorithm that can think like a human

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Researchers at IIT Madras have developed a motion planning algorithm that can think like a human

Researchers at the Indian Institute of Technology, Madras, have developed a new class of algorithms that are both fast and efficient. In this way, these algorithms can think like humans and help autonomous aerial, ground, or surface vehicles navigate through obstacle-filled environments as a natural person would. Based on the new idea of ‘Generalized Shape Expansion’ (GSE).

People who work at IIT Madras say that drones with “motion planning” algorithms can help disaster management and response. Researchers are also planning to use these algorithms on unmanned aerial and ground vehicles shortly, but this isn’t the end. The team is only working on the algorithms based on the GSE. They are only working on the algorithms’ theory.

Key Highlight:

  • The Indian Institute of Technology (IIT) Madras has developed a class of efficient’motion planning’ algorithms that can think like humans and negotiate obstacle-filled settings.
  • The algorithms are based on a revolutionary concept called “Generalised Shape Expansion” (GSE) that allows autonomous cars to predict a safe and dynamically viable trajectory.
  • This enhances exploration speed and requires only a few rounds of a GSE-based algorithm to connect the initial and objective regions.
  • “Drones equipped with our algorithms can be of substantial assistance during disaster management and response situations,” stated Satadal Ghosh, Assistant Professor, Department of Aerospace Engineering, IIT Madras.
  • The researchers hope to use these algorithms on unmanned aerial and ground vehicles soon.

Motion planning algorithms that think like humans have been developed by scientists at the Indian Institute of Technology (IIT), Madras. These algorithms are fast and efficient, and they can help autonomous aerial, ground, or surface vehicles navigate obstacle-filled environments.

The team’s algorithms are based on a new concept called “Generalized Shape Expansion” (GSE). This allows autonomous vehicles to plan a safe and dynamically feasible path.

It has been found that these methods are better than many of the existing seminal and cutting-edge motion planning algorithms.

The team said it calculates the ” safe ” area because it calculates the “safe” area. It is a big help in time-critical planning situations like self-driving cars, disaster response, ISR operations, aerial drone delivery, and planetary exploration.

IIT Madras Assistant Professor Satadal Ghosh is in charge. His research has been published in high-quality journals and conferences worldwide, including AIAA Journal of Guidance, Control, and Dynamics, IEEE Control Systems Letters, and American Control Conference (ACC). These are all top-notch conferences.

Vrushabh Zinage, Adhvaith Ramkumar, and Nikhil P are all former students of IIT Madras. Zinage is a PhD student at the University of Texas Austin, and Ramkumar is a graduate student at Warsaw University of Technology in Poland.

The GSE-based algorithms work by figuring out a “safe” area of the environment that includes large, “visible” parts that make it easy to get around. Following this, the algorithms pick a random point in this “visible” area and connect it through a safe “edge” to the safe areas that have been found so far. Eventually, the algorithms will be able to connect any two points in any environment, which meets a few basic rules.

The researcher said that the main advantage of GSE-based algorithms is that they are much faster than other well-known motion planning algorithms.

This means that the GSE-based algorithms can be very useful in applications where planning is essential.

Adhvaith Rajkumar: “Instead of using heavy-duty collision-checking modules, these algorithms use the new concept of “generalized shape,” which gives a maximum representation of the free space that can be reached from a given point in the environment. This is almost like updating a person’s perception of the “safe” space to move through around him or her.”

This, in simple terms, increases the speed with which the environment can be explored, which leads to only a few iterations of a GSE-based algorithm being needed to connect the start and finish points.

When Satadal Ghosh, an assistant professor at IIT Madras, talked about the applications of the “motion planning” algorithms, he said, “Drones equipped with our algorithms can be very useful in disaster management and response.” In the aftermath of a disaster like an earthquake, drones are often used to survey the area and look through debris for people who need to be found. When UAV paths need to be planned ahead of time in a time-critical way, our algorithms can play a big part.

“GSE-based algorithms can be used in a wide range of autonomous applications, such as warehouse material movement, project commissioning inspections, drone delivery, disaster management, self-driving cars, and so on.” For planning coordinated moves in a group of vehicles, these algorithms could also be used, he said.

If this research isn’t done by now, it’s only going to focus on the theory behind GSE-based algorithms and how they work in real-world scenarios to make sure they work.

These algorithms will be used on unmanned aerial and ground vehicles in the near future, as well.

If you only have information from on-board sensors or mission commands get in the way of vehicles’ movements because of changing mission-critical needs, like Intelligence, Surveillance, and Reconnaissance (ISR) operations or planetary exploration with rovers, you’ll need to change your plans for movement a lot.

Because the visible areas calculated by our GSE-based algorithms are unique at different points in the environment, our study shows that on-the-go motion planning is much easier with these algorithms, Ghosh said.

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4 COMMENTS

  1. […] Researchers at IIT Madras have developed a motion planning algorithm that can think like a humanResearchers at the Indian Institute of Technology, Madras, have developed a new class of algorithms that are Pradhan: IIT-Kharagpur should be at the forefront of innovation for the MSME sectorMinister Dharmendra Pradhan was speaking at the 67th Convocation of IIT Kharagpur, which is part of the Scholarships for Women Education Promotion are announced by IHub-Data and IIIT-HiHub-Data at IIIT Hyderabad gives scholarships to women who want to learn more about machine learning through IIT-Roorkee took the top spot in the “Most Innovative Institutions” category by the CII.The Indian Institute of Technology, Roorkee, takes first place in the CII’s “Most Innovative Institutions” IIT Bhubaneswar Team has designed and developed low-power semiconductor chipsThe Indian Institute of Technology Bhubaneswar has made semiconductor chips that use less power. People who IIT Kanpur developed ‘Bhu Parikshak’, a mobile application that can detect soil health in 90 seconds.A team of researchers at IIT-Kanpur has developed a portable soil testing device that can detect soil health First-of-its-Kind Nanotechnology Center at IIT Guwahati Is Providing Advanced InfrastructureIIT Guwahati has built advanced microelectronics and nano energy labs. Officials say the Center for […]

  2. […] Researchers at IIT Madras have developed a motion planning algorithm that can think like a humanResearchers at the Indian Institute of Technology, Madras, have developed a new class of algorithms that are IIT Bhubaneswar Team has designed and developed low-power semiconductor chipsThe Indian Institute of Technology Bhubaneswar has made semiconductor chips that use less power. People who The IIT Roorkee has opened a bio-incubator for research and product development.Launched by the Indian Institute of Technology (IIT) in Roorkee, the bio incubator will help new businesses IIT Kanpur developed ‘Bhu Parikshak’, a mobile application that can detect soil health in 90 seconds.A team of researchers at IIT-Kanpur has developed a portable soil testing device that can detect soil health First-of-its-Kind Nanotechnology Center at IIT Guwahati Is Providing Advanced InfrastructureIIT Guwahati has built advanced microelectronics and nano energy labs. Officials say the Center for IIT Delhi’s CART is working on new battery packs, charging stations, maintenance, and diagnostics.The Centre for Automotive Research and Tribology at the Indian Institute of Technology (IT) Delhi has been IIT Madras signs MoU with Tata Power for research, development, and technology projectsTata Power and IIT Madras have agreed to work on research and development, consulting, policy advocacy, IIT Delhi announced the launch of Oppo scholarship programme, Genius+ for outstanding students Oppo and IIT Delhi have inked a memorandum of understanding (MoU) to provide scholarships for engineering […]

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