A haptic-based training simulator for construction rebar-bending skills. Combines a haptic device with a virtual environment to deliver multimodal (visual, audio and haptic) feedback, enabling novices to learn steel-rod bending for reinforced-concrete work and letting instructors evaluate prior skill level.

The second-generation version of AMMACHI Labs' rebar-bending trainer, extending the original haptic simulator into a fuller virtual-reality training environment for construction rebar-bending skill acquisition.

A system for monitoring a user's balance and delivering structured training and feedback to improve balance performance over time.

A wearable frame with vertical supports, horizontal connecting members and adjustable shoulder/hip belts that lets tea-pluckers carry and position a collection container hands-free, improving posture and efficiency during harvesting.

An autonomous tree-climbing and coconut-harvesting robot (“Amaran”) with a robotic arm, body and ground station. Servomotors, a wireless camera and torsion-spring-driven wheels give the machine trunk grip and climbing capability, while an operator uses live video to position the cutter and harvest coconuts safely from the ground.

A mobile-device-controlled extension of AMMACHI Labs' coconut-climbing robot, letting an operator pilot the climbing mechanism and cutting arm directly from a smartphone app rather than a dedicated ground-station controller.

A drone aircraft fitted with a camera and laser cutting tool for remote coconut harvesting. An operator uses the live camera feed to assess ripeness and position the cutter, removing mature coconuts without anyone needing to climb the tree.

A spherical tensegrity structure of rigid struts and flexible tendons that cushions a fragile payload, such as medicines or vials, wrapped in biodegradable shock-absorbing material. It can be dropped from an aerial vehicle, bounce and roll to dissipate impact energy, and arrive intact without a parachute or powered landing.