Swapneel Bhatt

- Developing and implementing end to end robot manipulation algorithms to use for automated car assembly within Hyundai group - Integrating various sensors and industrial machine vision devices for effective pose estimation and robot picking - Deploying intelligent robot systems in production setups to increase automation rate in EV assembly

• Developing a miniature bi-fingered end effector to improve robot dexterity under Prof. Matei Ciocarlie and the ROAM Lab. • Conducting kinematic analysis and design optimization in ROS2 to maximize workspace utilization and arm performance. • Carried out simulations in ROS2 and developed metrics to monitor performance of MiniBEE across various designs and configurations. • https://roamlab.github.io/minibee/

- Course Assistant for COMS4771 Machine Learning in Fall '25 - Teaching assistant for MECE3018 Mechanical Engineering Lab 1 in Fall '24 and Fall'25 - Teaching assistant for MECE3028 Mechanical Engineering Lab 2 in Spring '25

• Developed Unity code for a no-code robotics platform for robot operators to reduce up to 73% in engineering costs for clients. • Engineered robot kinematics and motion planning solvers to execute over 5 different robotic manufacturing processes. • Spearheaded application deployment at customer sites for welding, spraying and sandblasting applications which reduced robot programming time by up to 21 times and increased productivity by 10 times. • Experienced with industrial robots such as ABB, UR, Yaskawa, and computer vision systems, such as Keyence CV-X series, and LMI Gocator Laser scanners.

Worked on mechatronic system development and Robotic Arm manipulation: - Programmed in Python and C++ in ROS framework to integrate a mechatronic system consisting of stereo cameras, a variety of sensors and a robotic arm - Developed ROS code for robotic arm manipulation for robotic pickup - Made use of industrial PLC for sensor incorporation and other applications.

-Research Assistant in Prof. Hirotaka Sato's team at NTU creating a Cyborg Beetle. -Helped design experiments to test cyborg beetle swarm's efficiency in exploring an arena using different exploration algorithms. -Ran simulations on ARGoS 3 to generate data for performance of swarms based on exploration techiques such as E.Coli motion, fixed/varied step length, etc. - ref : https://www.straitstimes.com/singapore/spore-team-turning-cockroaches-into-life-saving-cyborg-bugs-at-disaster-sites

- Played the Liaison between the NTU German Society and the NTU Student Life office. - Drafted student life event proposals and presented them to the NTU student life administration. - Planned and facilitated logistics for student life events. - Executed safety standards for student life events and ensured the events go according to plan. Key achievements: Organised 13 various events over a 5-month duration, varying from 10 to 50 attendees.Events were held on-campus as well as off-campus and promoted cultural exchange and solidarity between students of various cultures and backgrounds. Key skills involved: Event Planning, Proposal Drafting and Collaboration between students and administration.

- Acted as the contact point for subcommittee leads within the NTU German Society - Reviewed and approved event proposals, safety practices, and logistics plans - Oversaw event execution, and supported the event managers and logistics teams wherever possible - Organised discussions with the NTU administration for funding and sponsorships.

As an undergraduate at Nanyang Technological University, I was chosen to be part of the URECA undergraduate research program. - Conducted literature reviews on the state of the art of electric motors. - Designed a novel hybrid topology for a cost-effective, energy-efficient and fault-tolerant electric motor, with a starting torque increase of approximately 150%.

- Developed navigation package with the software team for novel disinfectant robot designed to tackle COVID-19 spread. - Collaborated with software leads to gain knowledge about the application, and learn ROS architecture. - Utilized ROS Navigation Stack to program robot path planning for application tasks in a mapped environment, leading to 4x faster disinfection.

- Conducted experiments to achieve process quality certification for a new plasma treatment machine used on low-pressure NGVs. - Created written documentation for NGV chemical cleaning processes for the process engineering team.

- Pursued coursework in crucial topics within robotics such as kinematics and dynamics, optimal control algorithms, robot learning such as behavioral cloning, reinforcement learning, as well as probabilistic robotics. - Undertook research work in Prof. Ciocarlie's ROAM Lab working on the Mini-Bimanual Dexterous Manipulator project, resulting in a publication at ICRA 2026

Courses: Robotics, Mechatronics System Engineering, Machine Vision, Data Science, Fluid Mechanics, Heat Transfer and Thermodynamics, Theory of Mechanisms, Mechanical Structures and Vibrations