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Robotic Garden (August 2009)
Our long-term goal is to develop an autonomous green house consisting of autonomous robots where pots and plants are enhanced with computation, sensing, and communication. The network of robots, pots, and plants transforms energy, water and nutrients into produce and fruits.
Optimal Distributed Coverage Control for Multiple Hovering Robots with Downward Facing Cameras
We wish to develop distributed algorithms for networked quad-rotor flying robots in multi-agent systems. Such robot teams are useful in a broad range of surveillance, security, and telecommunication applications. We explore high-dimensional (3+) coverage controllers, network update schemes, and vision-based localization methods.
The project's goal is to enhance an ordinary ordinary powered wheelchair using sensors to perceive the wheelchair's surroundings, a speech interface to interpret commands, a wireless device for room-level location determination, and motor-control software to effect the wheelchair's motion. The robotic wheelchair learns the layout of its environment (hospital, rehabilitation center, home, etc.) through a narrated, guided tour given by the user or the user's caregivers. Subsequently, the wheelchair can move to any previously-named location under voice command (e.g., "Take me to the cafeteria"). This technology is appropriate for people who have lost mobility due to brain injury or the loss of limbs, but who retain speech.
Robotic Garden (March 2009)
Our long-term goal is to develop an autonomous green house consisting of autonomous robots where pots and plants are enhanced with computation, sensing, and communication. The network of robots, pots, and plants transforms energy, water and nutrients into produce and fruits. In this type of precision agriculture system water and nutrients will be delivered locally on-demand and fruit will be harvested optimally. Plants will drive the robots' activities in the garden using sensors to monitor their local environment conditions, a plant-specific model of growth for making predictions about the state of fruit, and interaction with robots for establishing an inventory of fruit.
Quadruped Locomotion on Rough Terrain with LittleDog
The following videos show highlights from our work on LittleDog - a small quadrupedal robot built by Boston Dynamics for the DARPA Learning Locomotion program.