Samantha Montalbine '26 always knew that she liked engineering. She was team captain of her middle-school robotics team in Brooklyn, and at Freehold Township High School she took engineering classes and served as president of the Technology Students Association.

But when Montalbine applied to New Jersey Institute of Technology's Newark College of Engineering, she was uncertain about which engineering track would be the right one for her. She ended up choosing mechanical engineering for an unconventional reason.

Childhood friends from Bergen County — two seniors and an alumnus — are jointly forming a startup company, MechSense Labs, to apply what they’ve learned at New Jersey Institute of Technology in designing emergency rescue equipment.

MechSense’s first invention is a robotic rover called NodeRover, employing artificial intelligence to make its own decisions and ad-hoc wireless mesh networking to stay in touch, especially in dangerous situations or hard-to-reach locations that are too risky for human responders.

New Jersey Institute of Technology will host a national robotics competition next month at its Joel and Diane Bloom Wellness and Events Center.

About 1,000 high school students from eight states — including New Jersey, New York, Connecticut and Pennsylvania — and Canada will vie for prizes and the chance to advance to a global competition in May 2026.

Engineers keep deriving new applications from research into what happens when solid objects interact with fluids such as gasses and liquids — it’s useful knowledge for aerospace, energy and healthcare — but new applications in turn require more research, in an endless cycle that may soon skip a few loops because of an NJIT professor’s improvements to the hottest software in his field.

A team of researchers have demonstrated a new method that leverages AI and computer simulations to train robotic exoskeletons that can help users save energy while walking, running, and climbing stairs. Described in a study published in Nature, the novel method rapidly develops exoskeleton controllers to assist locomotion without relying on lengthy human-involved experiments.

Moreover, the method can apply to a wide variety of assistive devices beyond the hip exoskeleton demonstrated in this research.