Robots replicate reality: High-tech pitching machine mimics every pitcher

The Trajekt Arc pitching machine is demonstrated during the Major League Baseball winter meetings Wednesday, Dec. 6, 2023, in Nashville, Tenn. Trajekt uses data to mimic the way balls spin and break from big league pitchers and has for the first time been approved by Major League Baseball for in-game use this year in batting cages. (AP Photo/George Walker IV)

TAMPA, Fla. (AP) 鈥 Nestor Cortes got behind the plate in a batting cage and watched an 8-foot-high, 1,200-pound robot spit out fastballs, cutters and sweepers just like the ones spinning off the fingertips of his left hand.

鈥淚t was like seeing myself pitch. That was crazy,鈥 the New York Yankees All-Star left-hander said.

Technology has come a long way since the days of the Iron Mike.

The pitching machine uses baseball's high-tech data to mimic the way balls break from every big league pitcher and has been approved by Major League Baseball for in-game use this year in batting cages. Using video of deliveries and data, the robot allows a hitter to step in against recreated offerings from any pitcher he wants to face. Dodgers two-way star Shohei Ohtani said he used Trajekt to view his pitches from a different vantage point.

鈥淵ou鈥檙e training their brain. You鈥檙e training their eyes,鈥 Philadelphia hitting coach Kevin Long said.

Each machine costs $15,000 to $20,000 a month as part of a three-year lease, an unimaginable leap forward from the pitching gun invented by Princeton mathematics professor Charles Howard Hinton in 1896 that looked like a 2 1/2-foot-long cannon.

Paul Giovagnoli turned the concept into a business. He owned golf driving ranges in Wichita and Topeka, Kansas, wanted to add baseball and created what become known as the Iron Mike. Giovagnoli founded Master Pitching Machine in 1952, and its units with long metal arms became omnipresent throughout the majors.

By the mid-1970s, machines with spinning wheels entered the market, the better to replicate breaking balls, and the Yankees had three at $1,600 each at spring training in 1978.

Those models have gone the way of flannel uniforms.

retails for $14,000 and is programmed with 16 built-in pitchers with 140 pitches. Company sales manager Sam Root says there are more than 100 of its iPitch machines among 27 MLB teams and units are at 15 Division I college conferences.

comes with fastballs, changeups, split-fingers and right and left curveballs and sliders, and allows customized pitches and storage for 20 favorites. It retails for $14,999.

Joshua Pope took it a step further. He was a senior at TanenbaumCHAT high school in Toronto in 2014 and was talking with friends about how many swings it would take for them to get a hit off Marcus Stroman, then a top Toronto Blue Jays rookie. Having had a couple shoulder surgeries, Pope knew his career wouldn鈥檛 be as an athlete. He applied to the University of Waterloo in Ontario in part because , a mechanical engineering professor there, had developed a hockey slapshot robot.

鈥淲e had a theoretical modeling approach to how we could create a machine to replicate gyro spin,鈥 Pope said.

Data was publicly available. MLB installed Sportvision鈥檚 PITCHf/x in 2006 and then its more detailed , which runs on Hawk-Eye data. All teams get Hawk-Eye, and some now supplement it with information from KinaTrax Motion Capture, Simi Reality Motion Systems and DARI Motion.

During his five-year college program, Pope received a grant of $60,000 春色直播 and raised financing to built a prototype. He became CEO of the new company founded in 2019 and recruited Rowan Ferrabee, a Waterloo mechatronics engineering student, to be chief technology officer. They originally called their firm SimulatePro but changed it to Trajekt Sports 鈥 Traject with a normal spelling was taken and they liked the K because of its use for strikeouts in baseball scoring.

Working at Velocity, a startup hub in Kitchener, Ontario, from April 2019 to March 2020 鈥 and then in the garage of Pope's parents after the coronavirus pandemic began 鈥 they developed a machine that controls 11 of 12 degrees of freedom for pitches, maintaining only a fixed release point of 56 1/2 feet from the plate.

They presented a demo of the ball inserter and user interface at the 2019 winter meetings, and Chicago Cubs director of Innovation Bobby Basham agreed to a three-week spring training trial in 2021. Trajekt reached deals for seven teams in 2022 and now has 20 teams with about 45 machines 鈥 including a club in Japan that started last season. Until this year, MLB limited use to before and after games.

Trajekt trains a team鈥檚 data and video staff and sends two people for installation, which takes a day or two. Teams appear to prefer using softer Rawlings L10 training balls to lessen broken bats.

Phillies All-Star catcher JT Realmuto spends about an hour before each game going over the data on opposing hitters, writing notes that he takes to the dugout and reviews before each defensive half inning.

鈥淚t鈥檚 cool to see how far data driven baseball things have come,鈥 Realmuto said. 鈥淥bviously, analytics are a huge part of our game now. Analytics were going on 20 years ago, it鈥檚 just we didn鈥檛 really know how to understand it and how to transfer it into real time.鈥

MLB began regulating on-field technology in 2016 and has approved six products for in-game, on-field use this year: 4D Motion鈥檚 kinematic/movement tracker, Catapult鈥檚 GPS tracker, STATSports鈥 GPS tracker, Pulse鈥檚 Motus Sleeve that measures biomechanics and heart monitors from WHOOP and Zephyr. In addition, two bat sensors from Blast Motion and two from Diamond Kinetics are approved for on-field use during workouts.

鈥淚t鈥檚 a lot of vetting. It鈥檚 important to keep your eyes on emerging technologies but it requires a lot of work,鈥 Phillies general manager Sam Fuld said. 鈥淚t鈥檚 not as simple as snapping your fingers and investing in a piece of technology that looks interesting. You鈥檝e got to make sure you鈥檙e making the right choice because with it comes a lot of human capital that鈥檚 needed to operate the tech. If there鈥檚 data associated with the tech, there鈥檚 a lot of bandwidth required to make meaning of that data.鈥

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