Keerthi Sagar

Hi there! I am a Marie-Curie Research Fellow at Irish Manufacturing Research CLG and KUKA, Ireland , where I am a part of the Robotics and Automation team. My involves robot motion planning, optimization, and control. I am currently working on optimization and control strategies to enable robots to perform fine and dexterous manipulation tasks using both autonomous and teleoperation techniques.

Before starting my Marie-Curie PostDoctoral Fellowship, I obtained my Ph.D. in robotics from University of Genova, Italy under the guidance of Prof. Matteo Zoppi and Prof. Dimiter Zlatanov .

Email  /  GitHub  /  Google Scholar  /  LinkedIn  /  Resume  / 

profile photo

Industrial Projects and Public Demonstrations

I have worked on industrial projects involving robot-robot collaboration, human-robot collaboration and teleoperation focussed towards medical-device manufacturing. I have worked on EU-H2020 project "COLLABORATE" and EU-FP7 project "SWARMITFIX".

project image

Digital Twin of real robot in KUKA SIM


Keerthi Sagar
KUKA, Dundalk, Ireland, 2024
video / code /

Work presents a code repository for real-time joint visualization of KUKA robot states in KUKA SIM using python port.

project image

5G Use-case demonstration using Telerobotics


Keerthi Sagar
Aviva Stadium, Dublin, Ireland, 2023
video /

Developed a Telerobotics demonstrator to showcase Vodafone and IMR’s 5G Capabilities as part of my Marie-Curie fellowship.

project image

Digital Simulation of Human-Robot Collaborative Windshield assembly


Keerthi Sagar
EU H2020 Project - CoLLaboratE, CRF-Fiat Italy., 2023
video /

Delmia simulation showing Human-Robot Collaboration of windshield gripper assembly using a collaborative gripper equipped with tactile handles developed for CRF-Fiat, Italy



Research

I'm interested in robot motion planning, dexterous manipulation, kinematics and optimal control.

project image

Tactile human-robot collaborative robot gripper for windshield inspection and assembly


Francesco Grella, Keerthi Sagar, Roberto Canale, Michal Jilich, Alessandro Albini, Gorgio Cannata, Matteo Zoppi
IET Digital Library, Human-Robot Collaboration,Unlocking the potential for industrial applications,2023, 2024
paper / video /

Work presents human and a robot are working together to easily inspect and preassemble a heavy car windshield using hand guidance and a tactile windshield gripper.

project image

Polytope-Based Continuous Scalar Performance Measure With Analytical Gradient for Effective Robot Manipulation


Keerthi Sagar, Stéphane Caro, Taskın Padır and Philip Long
IEEE ROBOTICS AND AUTOMATION LETTERS, Presented at IEEE ICRA, Yokohama, Japan 2024,, 2023
paper / video / code /

This work presents a polytope-based kinetostatic index that can be used to achieve complex force and velocity-targetted manipulation in both serial and parallel robots. The index alongside its analytical gradient can be utilized for efficient real-time control.

project image

Towards High Dynamic Operations With Parallel-Serial Hybrid Robots


Keerthi Sagar, Vishal Ramadoss, and Matteo Zoppi
ASME, IDETC, DETC2023-116954, V008T08A064, August,20,203, Boston, USA, 2023
paper / video / code /

This work presents results on kinematic modeling, motion generation and control of a parallel-serial hybrid robot architecture employed as a reconfigurable subsystem alongside serial kinematic chains for high speed machining and fixturing in aerospace application.

project image

Modeling and Stiffness Evaluation Of Tendon-Driven Robot For Collaborative Human-Robot Interaction


Vishal Ramadoss, Keerthi Sagar (Equal first-author contribution), Mohamed Sadiq Ikbal, Dimiter Zlatanov, and Matteo Zoppi
IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
paper / video / code /

The work presents the detailed mathematical analysis of the stiffness evaluation of tendon-driven serial kinematic chains which allow single-point and multi-point routing with bundling per rigid link.

project image

STORM: Screw Theory Toolbox For Robot Manipulator and Mechanisms


Keerthi Sagar*, Vishal Ramadoss*, Dimiter Zlatanov and Matteo Zoppi
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 25-29 2020, Las Vegas, NV, USA, 2021
paper / video /

This work presents STORM, an educational and research oriented software framework for analysis and visualization of reciprocal screw systems for a class of robot manipulator and mechanisms, to help bridge the gap between theory and practice of application of screw theory in the constraint and motion analysis for robot mechanisms.

project image

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


Satheeshkumar Veeramani, Sreekumar Muthuswamy, Keerthi Sagar & Matteo Zoppi
Journal of Intelligent Manufacturing, 2018
paper / code /

Markov decision based planner for path planning triangular heads of the robotic fixturing agents. The method is compared against existing constrained satifsfaction problem (CSP) methodology. The code presents the CSP formulation developed for the fixturing robotic agents.

project image

The SwarmItFix Pilot


Keerthi Sagar, Luis de Leonardo, Rezia Molfino, Teresa Zielińska, Cezary Zieliński, Dimiter Zlatanov, Matteo Zoppi
Procedia Manufacturing, 2018
paper / code /

The work presents the integration and experiments with a pilot cell including a traditional machine tool and an innovative robot-swarm cooperative conformable support for aircraft body panels.

project image

Miniaturized Flexible Flow Pump Using SMA Actuator


Keerthi Sagar,
Procedia Engineering, 2013
paper /

This paper proposes a novel methodology of actuation based on flow generation in a flexible tube by inducing variable pressure difference within the tube by external actuation by Shape Memory Alloy (SMA) wires.





Design and source code from Jon Barron's website. Jekyll version from Leonid Keselman's website