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EPSRC Centre for Doctoral Training in Agri-Food Robotics: AgriFoRwArdS - Roopika Ravikanna 3

Roopika Ravikanna

  • University of Lincoln in collaboration with Saga Robotics

Research Interests

Roopika’s research interests include, human-robot interaction.

Publications

Presentations

  • “Task Allocation in Multi Robot Systems using Dynamic Manipulative Bidding Strategy” (oral) – Lincoln Conference on Intelligent Robots and Systems 2020 [October 2020] – Online.
  • “The perks in studying robotics” (oral) – University of Lincoln’s International Women in Engineering Day Showcase 2021 [June 2021] – Online.
  • “Automated Counting of Grapes” (oral) – AgriFoRwArdS CDT Summer School 2021 [June 2021] – Online.
  • “Task Allocation with Manipulative Dynamic Auctioneering for Multi Robot Systems” (oral) – UKRAS21 Conference: “Robotics at Home” [June 2021] – Online.
  • “Allocation of Parking Spaces for Autonomous Agricultural Robots” (oral) – AgriFoRwArdS CDT Annual Conference 2021 [July 2021] – Online.
  • “Maximising availability of fruit transportation robots through intelligent allocation of parking spaces” (oral) – Festival of Fresh 2021 [July 2021] – Online.
  • “Maximising availability of transportation robots through intelligent allocation of parking spaces” (poster) – Towards Autonomous Robotic Systems (TAROS) Annual Conference 2021 [September 2021] – Online.
  • “Maximising availability of transportation robots through intelligent allocation of parking spaces” (oral) – Joint Robotics and Autonomous Systems CDT Conference 2021 [October 2021] – Online.
  • “The Way We Eat” (oral) – TEDx Brayford Pool Salon [July 2022] – Lincoln, UK.
  • “With machine learning, data fusion and an understanding of the marine environment to guide fishers to the best catch” (oral) – AgriFoRwArdS CDT Summer School 2022 [July 2022] – Norwich, UK.
  • “Farm robots, fruit-picking and human-robot interaction” (oral) – UKRAS Robot Talk Podcast [September 2022] – Online.
  • “Does Baxter Dream of Electric Beans?” (oral) – AgriFoRwArdS CDT Summer School 2023 [March 2023] – Lincoln, UK.
  • “Smart Parking System Using Heuristic Optimization For Autonomous Transportation Robots In Agriculture” (oral) – Towards Autonomous Robotic Systems (TAROS) 2023 / AgriFoRwArdS CDT Annual Conference 2023 / Joint Robotics CDT Annual Conference 2023 [September 2023] – Cambridge, UK.
  • “Smart Parking System Using Heuristic Optimization For Autonomous Transportation Robots In Agriculture” (poster) – Towards Autonomous Robotic Systems (TAROS) 2023 / AgriFoRwArdS CDT Annual Conference 2023 / Joint Robotics CDT Annual Conference 2023 [September 2023] – Cambridge, UK.
  • “Title Unknown” (oral) – Lincoln Centre for Autonomous Systems (L-CAS) General Meeting [October 2023] – Lincoln, UK.

Other Activities

  • Member of the AgriFoRwArdS CDT Drink Outside the Box Organisation Committee.
  • Discussion Panel member at the AgriFoRwArdS CDT Annual Conference 2021 – Discussion topic: Jeff Keiser’s keynote presentation “30+ Years of AgriTech… What have we learned? …and, how do we apply that for the Future?” [July 2021] – Online.
  • Represented the AgriFoRwArdS CDT on the University of Lincoln stand at the Fresh Produce Consortium Festivals Event 2021 – showcasing research to the public, prospective students, and industry collaborators [November 2021] – Lincoln, UK.
  • Represented the AgriFoRwArdS CDT at the University of Lincoln’s Boston College: Institute of Technology outreach event – showcasing research and robotics demonstrations [June 2022] – Lincoln, UK.
  • Discussion Panel member for the AgriFoRwArdS Seminar Series – Discussion topic: Dr Ayse Kuckyilmaz’s talk “Dynamic Role Allocation and Shared Control in Human-Robot Collaborative Teamwork” [March 2022].
  • Represented the AgriFoRwArdS CDT at the University of Lincoln British Science Week school outreach event – showcasing research and robotic demonstrations to delegates [March 2022] – Lincoln, UK.
  • Discussion Panel member at the AgriFoRwArdS CDT Annual Conference 2022 – Discussion topic: AgriFoRwArdS PhD research progress [July 2022].
  • UK RAS RoboLab Live demonstration (University of Lincoln submission) for the UKRAS festival of robotics – Demonstration of robotics systems in strawberry polytunnel for two applications [June 2022] – Online.
  • Represented the AgriFoRwArdS CDT in the AgriFoRwArdS CDT promotional video, including interview about experiences within the CDT and the agri-food robotics sector.

MSc Project

Leaky Integrate Neuron Model for Multi Robot Task Allocation

The evolution of methodologies in Multi Robot Task Allocation is surveyed. Various classifications of Taxonomy in the domain is compared to the relevance of its application. An idea for a novel ‘Leaky Integrate and Fire’ Neuron Model for Multi Robot Task Allocation is presented along with the explanation of its biological theory. This is used as an inspiration to model a setup of heterogenous autonomous Multi Robot system in a farmland environment. The model would be simulated as a software using Python. Performance of the system will be evaluated and compared to that of a traditional Market based approach. Findings shall be drawn and Results are to be summarised.

PhD Project

Fleet Management of Autonomous Agricultural Robots with Human Awareness

Fleet management of autonomous agricultural robots is fundamental to fully autonomous farming practices as it addresses the issues of conflict resolution, resource and efficiency optimisation when dealing with a fleet of homogenous or heterogenous robots. The abstract of the proposal for this PhD would be integrating human behaviour models with the navigation and task allocation system of autonomous fleets for better path planning evading possible conflicts and deadlock situations between robot-robot and human-robot(s). The study will focus on the proxemics, human behaviour modelling using decision prediction and neuroscientific methods, path planning, fleet coordination and human robot ethics.

Roopika’s PhD project is being carried out in collaboration with Saga Robotics, and with primary supervision by Prof Marc Hanheide.

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