November Competition Results – 2017

The big winner of this year’s DPRG November competitions, both indoor and outdoor, was Scott Gibson.

Both of Scott’s robots, CanMan and B.U.R.P., sported major improvements since their last appearance.  CanMan struggled in last May’s Can Can Soccer competition, taking third in the event.  However, at this November’s 6 Can event, the robot collected all 6 cans in 147 seconds.  Scott attributed the improvement to better software. B.U.R.P., Scott’s impressive outdoor rover also received major improvements. In Scott’s own words “B.U.R.P. has new wheels, drive motors, and custom designed H bridges, along with a new tail wheel assembly. I also completely revamped the sonar sensor unit with a new CPU and enclosure, and made more SW upgrades in all the CPUs than I can recall.”. B.U.R.P. achieved a perfect score of 9 in RoboColumbus Plus by stopping and touching all 3 of the course’s traffic cones.

        

                               CanMan Robot                                                                          B.U.R.P. Robot

In the 6 Can competition 2nd place was taken by VexNavigator, the robot that won Can Can Soccer last May. No major improvements were made to this robot which uses a Pixy CMUCam5 interfaced to a VEX Robotics IQ controller.  Third place was taken by ClubBot,  a robot using the DPRG club robot 2016 design. This is the first time a robot of the DPRG club robot 2016 design has competed in a contest. ClubBot collected all 6 cans in 232 seconds during the competition. However after the competition, ClubBot made a demonstration run with better tuned speed values and achieved a time of 165 seconds, which would have taken 2nd place. One of the features of the club robot design is how easily the robot can be reconfigured. The competing robot had a modified front end and sported 3 sensors (ultrasonic, IR gate sensor, and Pixy CMUCAM5). The owner, Doug Paradis, says that the competition spawned several ideas for improving the robot and he is anxious to start upgrading.

                                   6 Can contest winners

 

 

Roborama 2017 Results

On the morning of May 13th, the Dallas Makerspace bustled with the excitement of competitors in the 22th annual Roborama. Activities started with a tour of the makerspace. Many of the competitors and their guests had never seen a makerspace and the creative possibilities displayed by the work of various makers was a real eye opener.

Each competitor or team was assigned a table area in the pit room where they fussed with final robot adjustments while checking in. At check in, robots were measured, weighted, and inspected to insure that they passed competition rules. By the time check in was finished, everyone was very excited.

In the Plastic Fastener Sumo contest, the quality of the robots was good. The impact of the learning from the Sumo/Line Following workshop, held a week before Roborama, was clearly evident. The competitors that had attended the workshop had taken to heart the best practices they had learned. As always the competition was fierce with several of the matches not decided until a final push by the winner.

The Line Following contest, the second part of the student portion of the of the competition, also showed improvement over past contests, with the winning robots achieving higher speeds. The contest doesn’t require the robots to be made from plastic fasteners, however all student competitors used them.

After the student portion of Roborama concluded, prizes were rewarded to the winners of the student portion of the competition. Each winner received a DPRG trophy and choice of a complete robot kit or a gift certificate provided by our sponsors. Kits and certificates were provided by Pololu, Parallax, REV Robotics, Tanners Electronics, RoboRealm. and Richard Neveau.

                          

                                            Trophies                                                                      Prizes
Winners

The unrestricted participation part of Roborama consisted of the contests Big Table Top 2 and Can Can Soccer. In Big Table Top 2, a robot must complete 4 tasks. The tasks are: return a can to the starting zone, knock a can off the table, place a can into an overhanging box on the side of the table, and use the two remaining cans to form a line with the can in the starting zone that a yard stick can lay over (cans must be at least 8 inches apart). The top prize for Big Table Top 2 was won by a visitor to Roborama from Vancouver Canada, Markus Lampert.  His robot, Freddie, achieved a perfect score with a hitchless performance on the 1st attempt. Freddie has a hand crafted frame made of jig sawed plywood, a very tight design that incorporates several IR sensors, and a unique fin style grabber using flexible 3d printed claws. Markus is a member of the Vancouver Robotics Club (www. vancouverroboticsclub.org). Second place was taken by Doug Paradis with his robot, Little Andy.

                          

                          Freddie dropping can over edge                       Freddie placing cans in a line

Can Can Soccer, where two robots go head to head in an non-aggressive test to collect cans, becomes more competitive and exciting with each repetition of the contest. The winner this year was Doug Paradis and his robot VEX Navigator. Vex Navigator is built with the VEX IQ system. It incorporates a CMUCAM5 Pixy to identify cans. The Pixy is connected via a TI MSP430 LaunchPad  board, using the techniques published by James Pearson, in his documentation of the VEX IQ Sensor Reference. Second and third places were won by Ray Casler and Scott Gibson. Ray’s robot, Rainman, sported several new modifications. The modifications included a beacon system to allow determination of location after a collusion event. Scott’s robot, Can Man, usually a truly strong contender, suffered from a flurry of undetermined problems that hampered performance. Markus Lampert’s robot, Freddie, also participated. Fredde made a good show, but did not place. The final bout pitted VEX Navigator versus Rainman. In the ending moments of the bout, Rainman and VEX Navigator targeted the same can. Time ended with Rainman trying to catch VEX Navigator as Navigator snatched the can and placed the winning can into the goal.

                         

                               Big Table Top 2 Winners                                   Can Can Soccer Winners

Trophies and prizes were handed out by DPRG President Steve Edwards.

Judges

Steve Edwards, David Ackley, and Richard Neveau were the judges for the event.

 

RoboColumbus Plus 2016 Results

Avondale Park in Denton, TX provided an excellent venue for RoboColumbus Plus 2016 held on November 19th. The weather was a brisk clear Autumn day. Contestants and spectators all had a great time watching the robots make their attempts at the course. This year’s course was the most challenging course in RoboColumbus history.

robocolumbus_nov_2016_home_to_1st_cone_x
Image of home cone showing first target cone in the distance

RoboColumbus is an outdoor robot competition that was patterned after the RoboMagellan competition run by Seattle Robotics Society. RoboColumbus was always meant to be a training ground for DPRG members to improve their outdoor rover knowledge and be simpler than RoboMagellan. It started out as a course with one cone that was positioned about 50 feet from the starting line in a clear path. Participating robots drove autonomously from the starting line to the cone. The robots received points if they touched the cone and stopped.

In 2014, the distance between the starting cone and the target cone was increased to 100 yards. The path between the starting line and the target cone continued to have no obstacles. However, the course could have high grass, holes, and other terrain irregularities. The robots could score points for: coming close to the cone and not stopping (1 pt), being close to the cone and stopping (1 pt), touching the cone and stopping (1 pt).  A perfect score was 3 points.

In 2015 the name was changed to RoboColumbus Plus and  the course was expanded by an extra cone that had no clear path from the first target or home cones. The distance between each of the 3 cones (target 1- clear path, target 2 – obstacles in path, and home cone – obstacles in path) was kept at 100 yards. Scoring was similar to what was done in 2014. A prefect score was 9 points. Time of run determined winners when multiple robots achieved 9 points. This new contest and scoring method has worked well for both beginning and seasoned contestants. It allows beginners to see progress, yet challenges seasoned roboticists.

This year three roboticists participated. Two robots, jBot and B.U.R.P., scored perfect scores of 9 points. The remaining robot, Rover 3, came close to all three cones to score 3 points. B.U.R.P, which participated in the 2015 RoboColumbus Plus sported major improvements this year. Besides major software enhancements, it had a completely new obstacle avoidance sensor array with motorized pitch adjustment, new encoders, new IMU, and also added a camera and GPS. The winning robot, jBot, has achieved perfect scores for 2 years running.

robocolubus_nov_2016_winnersDoug Paradis (rover3 – 3rd),   David Anderson (jBot – 1st),   Scott Gibson (B.U.R.P. – 2nd)

 

The robot runs can be seen on youTube at RoboColumbus Plus 2016

 

 

Fall Indoor Competition – 6 Can contest Results

This year’s Fall indoor competition consisted of a single contest, the perennial favorite Six Can.  This contest was designed to be a training event for the Roborama Can-Can Soccer event held in May. It is similar to Can-Can Soccer without the opposing robot. A competing robot must collect 6 cans from the Can-Can Soccer arena and deposit them at the opposing goal.

This contest has seen a large variety of approaches to the problem over its lifetime. This year was not different. The winning robot, Can Man, used a spinning LiDAR (RoboPeak) and camera to determine location and target cans. The second place robot, VEX navigator, which used the VEX IQ modular system, determined it location with odometry. This robot used sonar and a Pixy (CMUCAM5) vision sensor to target cans. The third place robot, Rainman, used a completely targeting methodology and didn’t track robot location. It sported a LiDAR lite (v2), Pixy, and a goal trip switch to handle the tasks of capturing cans and depositing them at the goal.

fall_2016-6_can_winners

DPRG President Steve Edwards handing out prizes to the winners of Six Can.
Scott Gibson (1st),   Doug Paradis (2nd),  Ray Casler(3rd)

 

The robot runs can be seen on youTube at Fall Competition 2016 – Six Can .