Aditya Mehrotra

ORCID: 0000-0003-0920-5224
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Planetary Science and Exploration
  • Teaching and Learning Programming
  • Modular Robots and Swarm Intelligence
  • Water resources management and optimization
  • Innovative Teaching and Learning Methods
  • Data Stream Mining Techniques
  • Astro and Planetary Science
  • Space Exploration and Technology
  • Advanced Memory and Neural Computing
  • Robotic Locomotion and Control
  • Mobile Learning in Education
  • Reinforcement Learning in Robotics
  • Social and Economic Development in India
  • Mechatronics Education and Applications
  • Experimental Learning in Engineering

Massachusetts Institute of Technology
2022-2023

Delhi Technological University
2022

Galgotias University
2022

Weatherford College
2022

École Polytechnique Fédérale de Lausanne
2020-2021

University of Applied Sciences and Arts of Southern Switzerland
2021

The 2022 NASA BIG Idea Challenge invited teams to develop novel extreme lunar terrain mobility technologies in support of the Artemis program, setting only constraint not propose a wheeled robot. This paper proposes platform for field-reconfigurable walking robots that can be tailored multiple missions and even repaired field. Design exploration started with listing potential robots, took inspiration from animals conceptualize four different locomotion strategies associated robot forms. We...

10.1109/aero55745.2023.10115833 article EN IEEE Aerospace Conference 2023-03-04

Educational Robotics holds the potential to promote development of important 21st century skills, such as creativity and problem-solving skills in addition digital literacy. However, emergence Covid-19 pandemic has posed particular obstacles that had be overcome order allow activities conducted distance learning. In first place, obligation work from home limited access required equipment for many students. Secondly, teachers face novel challenge creating pedagogically meaningful online...

10.1109/access.2021.3094158 article EN cc-by IEEE Access 2021-01-01

Past research has shown that the use of tangible programming platforms in computing education can enhance students' interest, engagement, and collaboration within workgroups. However, to this day, adoption such interfaces classrooms remained relatively scarce. This is possibly due expenses efforts necessary acquire, set up maintain platforms. In context, paper as a principal means interaction represents an inexpensive versatile solution, additionally harnesses prevalence classrooms. work,...

10.1145/3341525.3387402 article EN 2020-06-03

Recently, reinforcement learning has been at the forefront of automation revolution. Reinforcement proved to be a particularly powerful technique since it can understand actions that will lead ultimate success in an unfamiliar environment without any intervention supervisor. Due advent Neural Networks, unison Deep and led unprecedented scaling previously thought computationally expensive algorithms. This caused emergence autonomous systems play games automate robotics using visual cues, name...

10.1109/icacite53722.2022.9823631 article EN 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) 2022-04-28

View Video Presentation: https://doi.org/10.2514/6.2022-4395.vid The Artemis Base Camp phase of NASA's planned return to the Moon will feature extensive exploration and infrastructure development needs in around extreme lunar terrain such as permanently shadowed regions (PSRs), lava tubes, cliffs inclines, highly porous regolith. In view this, NASA its partners are likely have substantial, expanding, evolving diverse for robotic mobility support years come. addition, there be a long-term...

10.2514/6.2022-4395 article EN ASCEND 2022 2022-10-15
Coming Soon ...