Kalana Ratnayake

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Kalana Ratnayake

Research Student

Kalana is a PhD candidate at the Faculty of Science and Technology, University of Canberra. He has a background in Computer Science and Engineering. His research interests include robotic navigation and manipulation, human-robot interaction and LLM-based robotic planning. His current research focuses on llm based generative behaviour planning for social robots. His areas of technical experience include ROS1 and ROS2 development (in C++ and Python), Navigation stack and Moveit stacks, robotic planning, and low-level robot control.

As a part of his research work, he develops and maintains the following repositories (some of which might stay hidden until the related publication is out)

As co-collaborator

As the maintainer

He also maintains the following stacks for robots used in the lab,

Google Scholar: https://scholar.google.com/citations?hl=en&user=Ujk7jMsAAAAJ

Kalana's Publications

Capabilities2 for ROS2: Advanced Skill-Based Control for Human-Robot Interaction
Jun 30, 2025 More 10.1109/HRI61500.2025.10973863

This paper presents Capabilities2, an advanced skill-based control framework for human-robot interaction (HRI) in ROS2. Capabilities2 enables robots to perform complex tasks by defining and managing skills, which are modular units of functionality. The framework facilitates interoperability, communication, and service management between different components of the robot system, enhancing the robot's ability to interact effectively with humans.