You know we’re all going to starve, right? If the world’s population keeps growing exponentially and food production grows linearly, we’re eventually going to find out what Soylent Green is made of. This is where [David Dorhout]‘s Prospero robot farmer comes in. [David] has come up with the idea of using small autonomous robots to plant, tend and harvest fields. Right now, he’s working on stage 1: planting seeds.

A swarm of six-legged Prospero robots are dispatched to a field. There, each member of the swarm plants seeds one at a time. The robots keep in contact with each other over a wireless connection to ensure the optimal planting pattern for an entire field.

The Prospero prototype is based on the Parallax Propeller with a Ping ultrasonic sensor used to avoid obstacles. Each hexapod is equipped with a bunch of seeds, a small auger, and a supply of fertilizer for the future corn plant. The next step in the plan is to build a ‘tending’ robot that will monitor and apply nutrients if needed. Check out the Prospero video after the break.

Imagine that you want a book that is located on a shelf several rooms over, but you do not want to get out of your chair. Short of developing telekenesis on the spot, there’s little you can do other than get up and fetch the book yourself – that is, unless you have an army of Swarmanoids to do your bidding.

This robotic swarm is the pet project of [Dr. Marco Dorigo] from the Université Libre de Bruxelles, Belgium, and is impressive to say the least . As the Mission: Impossible-esque video plays out, you see several different robots working in concert, flying, climbing, and driving around to fetch a book from a shelf. The robots have no information regarding their surroundings, forcing them to learn and “speak” to one another in order to reach their goal once the target has been located.

It really is amazing to watch these robots work together, but don’t take our word for it. Check out the Swarmanoids in action below.

[via Geek.com]

[Dan] wrote in to share a project he recently finished up, an autonomous Airsoft tank. The toy tank makes use of a wide array of technologies to get the job done, and will stop at nothing to hunt you down (provided you are wearing an IR beacon).

An Arduino board is used to control the tank’s motors, while a Lego NXT module handles most of the other operations. The tank makes its way around using an ultrasonic sensor, which ensures it doesn’t get stuck on any errant furniture or hung up in a corner. While driving around autonomously is well and good, [Dan] upped the ante a bit by making the Airsoft turret completely autonomous as well.

He fitted a Wiimote IR sensor to the tank, successfully interfacing it with the NXT module after a bit of trial and error. Now that things are up and running, he can place his IR beacon anywhere in the room, and the tank will drive around scanning its surroundings until the target is found. Once the tank locks on, a flurry of Airsoft pellets take down whatever stands in its way.

We think that [Dan] did a fantastic job here, but see for yourself in the videos embedded after the break.

[via HackedGadgets]

This autonomous remote control-style car from Cornell students was designed for a senior level engineering course there. It’s main “sensor” is a low-res webcam style camera. As shown in the video after the break, this car does quite well staying within two black lines on a white surface using it’s vision processing. It also has an IR sensor to detect objects in front of the car and stop without crashing.

All “vision” computations are handled by an Atmel Mega644 MCU, an 8-bit processor. Because of the processing limits of this chip, much work had to be done to make this process computationally efficient. These students go through an incredibly detailed account of their project, focusing on the code and electrical design. Check out the video of their car in action after the break.

Sailing a small boat across the Atlantic ocean is quite the daunting task. As many have discovered, it is a journey often fraught with perils, typically ending in failure. A team of four college students decided the best way to get a small boat across the ocean would be to remove the human element from the process, so they set off to build an autonomous craft to take on the task.

Like most projects, this one started as a handful of wild ideas exchanged between friends [Dylan Rodriguez and Max Kramers]. As they thought about it more, they decided that turning [Max’s] sailboat into an autonomous ocean-going craft would be pretty awesome, so they got to work. Recruiting help from their friends [Brendan Prior and Ricky Lyman], the project started to quickly take shape, and Scout was born.

Scout is 8 feet long and consists of foam core covered in carbon fiber. It is filled with various electronic components such as a SPOT tracker, a battery bank that will power the boat for up to 25 hours, and the various servos and motors which will be used to pilot the craft.

It’s a rather ambitious project, though the boat is nearly complete – just in time for their launch, slated for May 29th. We’ll certainly be keeping an eye on this project as the launch date approaches – good luck guys!

Head on over to their Kickstarter page to see a promo video introducing Scout.

Instructables user [IAMTHEBOT] recently finished building his robot which can be controlled by a human using an R/C transmitter, via a PC, or through its built-in object avoidance system. The robot doesn’t seem to have a name, though Johnny Five might be appropriate.

The robot was built using plenty of erector set parts, as well as a Lynx motion tank tread kit. The robot is crammed full of controllers, including a Propeller USB servo controller which operates the arms, and a pair of Parallax motor controllers to manage the tread movement. A pair of Parallax Stamp controllers are used to drive these controllers as well as to manage the remainder of the robot’s functions.

The robot’s head consists of a custom pan and tilt wireless camera system, which allows him to drive it around from the comfort of his home, while watching the video stream on his PC. The robot also has the ability to roam around autonomously, avoiding objects using a ping sensor that can be mounted where the camera is currently located. It seems all that’s missing is Steve Guttenberg.

As you can see in the videos below, the robot manages pretty well on all sorts of surfaces, and even walks this guy’s dogs.

[Simon Inns] developed this board to act as a radio controlled override for autonomous hardware. It sits between some servo motors and two different sets of controllers for those motors. One set of hardware that can control the motors is a microcontroller programmed for autonomous tasks. In [Simon's] case this enables a sailboat to navigate open water with out human intervention. But if that board fails, or if you just need to call the boat back to port, this module allows for a traditional RF vehicle controller to take command.

The board seen above, dubbed the Servo Switcher, uses a PIC 12F683 to monitor the incoming signal from the RF receiver. If that signal is not present it switches control of the motors over to a separate microcontroller board. This means that the override control is established simply by turning the handheld controller on. This will save you a swim to retrieve your boat, which is a nice convenience. But if you modify this for a plane or helicopter, it can save your aircraft from certain destruction. Check out the video walk through after the break.

Google’s showing off this autonomous car at the TED convention right now, but the hardware has already made automated trips from San Fransisco to Los Angeles. According to the commentary in the video after the break, the scene above shows the car “hauling Prius ass” on a closed course. The car learned this route while being driven by a person and now the vehicle is set to take riders through an aggressively driven loop in the cone-adorned parking ramp. But on the open road you do not need to teach it anything. It has no problem taking a GPS route and following the rules of the road while traveling from one waypoint to another.

The link above doesn’t include hardware information but they did point to a Times article which includes an infographic. The spinning box on the top of the car is 3D-mapping LIDAR with a 200 foot radius. There’s a rotary encoder on one of the wheels for precise movement data, radar sensors on the front and back bumpers, and a rear-view-mirror-mounted camera for image processing. It makes us wonder how the system performs when the car is coated in road-muck? Maybe you just add a dedicated wiper for each sensor.

Outside the car:

Inside the car:

[via Engadget]

[Johannes] sent in the latest iteration of an ongoing project – Nimbus, the wall-follwing robot. Originally operating on a cardboard frame, the robot has undergone several revisions as you can see by reading through his blog. Nimbus started out as a simple, Arduino-powered robot, but the project has progressed nicely over time. The last revision simply avoided walls, using a Sharp IR proximity sensor to detect, then avoid obstacles. The most recent model sports a nice polycarbonate frame as well as two additional IR proximity sensors, allowing Nimbus to navigate quite well, following walls and avoiding obstacles with ease. It does get caught up from time to time on carpets and wires, but overall Nimbus is a great little robot. [Johannes] even added a small RGB status LED for the bottom of the bot, communicating its navigation status to the operator at all times. This is done by flashing various colors when objects have been discovered or have moved out of sight – it’s a really novel addition.

Keep reading for a video of Nimbus navigating his way around, and don’t forget to check out the Nimbus photo stream.

[ESylin] built an autonomous rover that roams the vacant halls of his school. On the hood of the vehicle he’s mounted two Maxbotix sonar sensors that do a great job of keeping the vehicle centered in the hallway. It will follow a wall around a corner (favoring its left side because of the left-facing sensor) and it will stop to correct itself if it gets off course. That’s because when you’re not driving a dsPIC33 is, with a Traxxas XL-5 speed controller and a hobby servo for steering. But this little guy hasn’t lost all his pep. Manual control and be switched on from from an R/C controller so you can burn up the floor tiles. Take a look at the demo after the break, with the manual control demo shown at about 4:10.

[Karl-Engelbert Wenzel] developed a UAV capable of taking off and landing on a moving platform autonomously. The platform operates aircraft-carrier-style by driving around the room in circles. The quadcopter tracks a grid of IR LEDs at the front of the landing deck by using the IR camera from a Wii remote. The best part is that the flight controls and processing are all done by the copter’s onboard ATmega644 processor, not requiring a connection to a PC. The landings are quite accurate, achieving a maximum error of less than 40 centimeters. In the video after the break you can see the first landing is slightly off the mark but the next two are dead on target.

So build yourself a mobile platform and pair it up with your newly finished quadcopter to replicate this delightful hack.

The students at the University of Oklahoma have put together a robot that will surely join the other drones in our future robot overlord regime. This autonomous vehicle was produced to replace human security patrols which can be both boring and dangerous. Intent on delivering surveillance to most locations, an all terrain vehicle was used as the base. It can navigate by itself through an obstacle avoidance system and communicate video and audio wirelessly. After the break we’ll take a look at the systems that make this work.

The team implemented steering controls by mounting a geared motor to the front of the ATV. This steering motor interfaces with a gear they added to the steering column via a chain. Obstacle avoidance is facilitated by sonar sensors on the front and sides of the chassis. These sensors can detect ground level obstacles such as curbs.

The vehicle uses both pre-programmed as well as sensor-based behavior. To start, the patrol route is fed into the program. Once unleashed, the bot uses a combination of this data, as well as input from a GPS module, digital compass, and the range finders to complete its mission. All of these components are tied together by the onboard Toughbook in conjunction with a 16-bit microcontroller. A wireless router provides connectivity for transferring data as well as remote joystick based control if needed.

Project developers [Fares Beainy] and [Sesh Commuri] sent us their paper detailing the project (PDF). The readily available, inexpensive hardware used to complete this bot says a lot about how far we have come with technology. It shouldn’t be too much longer before this type of hardware shows up in your town sweeping the streets for criminal scum (or humans recently escaped from the processing facility).

Back in October we reported on the I-Swarm robotics project. [Travis] sent us some more information. These tiny robots are programmed optically and are able to respond to programming commands via an infrared signal. Locomotion is facilitated with piezoelectric actuators and the power to the units provided through a solar cell. It is not clear that this project is still ongoing as the I-Swarm web page lists a project termination date of 6/31/2008. That being said, the video embedded after the break was posted two days ago showing swarm movement and detailing the programming, testing, and hardware specifics.

[via Hizook]

We would like you to meet PR2. Made by Willow Garage, PR2 is a platform for research into robotic programming.  The bot itself is simple compared to some of the humanoid bots we see, but its behavior is quite complex. In the video above, you see PR2 completing milestone 2 of its development. This includes navigating an office with closed doors and plugging itself into a standard wall outlet for a charge.  We’re especially fond of the “wiggle”. You can hear some of the developers talk more about PR2 and its completion of milestone 2 in the video after the break.

[via BotJunkie]

[Colt45] shows us some pictures of his Rovio fire extinguisher mod. Being a fan of model building, he built a new shell for the Rovio and mounted a halon distribution system to the top of it. He says he loaded some custom software for identifying and extinguishing flames, which he’ll upload eventually. We really wish we knew more, or at least had a video of it working. We’re a little bit surprised we haven’t seen more done with these things.

[Thanks Robert]