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2025

Multimodal Behaviour Trees for Robotic Laboratory Task Automation

DOI: 10.48550/arxiv.2506.20399
: Preprint

An Open-source Capping Machine Suitable for Confined Spaces

: Preprint

LIRA: Localization, Inspection, and Reasoning Module for Autonomous Workflows in Self-Driving Labs

DOI: 10.21203/rs.3.rs-6148048/v1
: Preprint

2023

Affordance-Based Human-Robot Interaction With Reinforcement Learning

Munguia-Galeano, F., Veeramani, S., Hernandez, J. D., Wen, Q., & Ji, Z. (2023). Affordance-Based Human-Robot Interaction With Reinforcement Learning. IEEE ACCESS, 11, 31282-31292. doi:10.1109/ACCESS.2023.3262450

DOI: 10.1109/ACCESS.2023.3262450
: Journal article

2022

Reinforcement learning based path planning of multiple agents of SwarmItFIX robot for fixturing operation in sheetmetal milling process

Veeramani, S., & Muthuswamy, S. (2022). Reinforcement learning based path planning of multiple agents of SwarmItFIX robot for fixturing operation in sheetmetal milling process. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 236(12), 1667-1680. doi:10.1177/09544054221080031

DOI: 10.1177/09544054221080031
: Journal article

Hybrid type multi-robot path planning of a serial manipulator and SwarmItFIX robots in sheet metal milling process

Veeramani, S., & Muthuswamy, S. (2022). Hybrid type multi-robot path planning of a serial manipulator and SwarmItFIX robots in sheet metal milling process. Complex & Intelligent Systems, 8(4), 2937-2954. doi:10.1007/s40747-021-00499-3

DOI: 10.1007/s40747-021-00499-3
: Journal article

Coordination and path planning of a heterogeneous multi-robot system for sheet metal drilling

Veeramani, S., Muthuswamy, S., & Setchi, R. (2022). Coordination and path planning of a heterogeneous multi-robot system for sheet metal drilling. Procedia Computer Science, 207, 2335-2344. doi:10.1016/j.procs.2022.09.292

DOI: 10.1016/j.procs.2022.09.292
: Journal article

2020

Reinforcement Learning based Path Planning of the Mobile Agents with Constrained Locomotion for the Material Handling Applications

Veeramani, S., & Muthuswamy, S. (2020). Reinforcement Learning based Path Planning of the Mobile Agents with Constrained Locomotion for the Material Handling Applications. In 2020 IEEE 4th Conference on Information & Communication Technology (CICT) (pp. 1-5). IEEE. doi:10.1109/cict51604.2020.9311923

DOI: 10.1109/cict51604.2020.9311923
: Conference Paper

Artificial intelligence planners for multi-head path planning of SwarmItFIX agents

Veeramani, S., Muthuswamy, S., Sagar, K., & Zoppi, M. (2020). Artificial intelligence planners for multi-head path planning of SwarmItFIX agents. Journal of Intelligent Manufacturing, 31(4), 815-832. doi:10.1007/s10845-019-01479-8

DOI: 10.1007/s10845-019-01479-8
: Journal article

2019

Multi-Head Path Planning of SwarmItFIX Agents: A Markov Decision Process Approach

Veeramani, S., Muthuswamy, S., Sagar, K., & Zoppi, M. (2019). Multi-Head Path Planning of SwarmItFIX Agents: A Markov Decision Process Approach. In Mechanisms and Machine Science (pp. 2237-2247). Springer International Publishing. doi:10.1007/978-3-030-20131-9_221

DOI: 10.1007/978-3-030-20131-9_221
: Chapter