Tennibot Launches 35-Pound AI Tennis Robot That Thinks Like a Coach

Tennibot Launches 35-Pound AI Tennis Robot That Thinks Like a Coach

A man playing tennis with an AI assistant throwing tennis balls.

Image: Tennibot

Verfasst von
Kezia Jungco
Kezia Jungco
Apr 6, 2026
3 minute read
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Your tennis coach just got replaced… and it fits in the trunk of your car. 

Tennibot Inc. launched the Partner V2 on April 6, a smart tennis ball machine that doesn’t just feed balls — it thinks, builds your practice, and adjusts what you actually need to work on. 

The Partner V2 weighs roughly 35 pounds and is built as a fully portable system. It combines robotics, machine learning, and mobile integration to personalize coaching on the court.

What’s new in Partner V2

Tennibot’s latest robot features a series of hardware and performance upgrades that enhance both usability and training accuracy.

According to the company, Partner V2 weighs approximately 35.4 pounds and measures 17.7 by 21.75 by 19.2 inches. The robot is 13.6% lighter and 14.4% smaller than its predecessor, making it one of the most portable robotics systems for on-court use. 

The Tennibot Partner can hold up to 140 tennis balls or 250 pickleballs, allowing players and coaches to extend training sessions without frequent reloading. 

The Robot Report noted that it delivers a 37% increase in vertical shot range, broadening the variety of drills players can perform, from defensive lobs to aggressive topspin shots. Upgraded braking motors also improve shot consistency and enable smoother transitions between shot types, providing players with a more realistic training experience. 

“We built the Partner V2 for one reason: to give every tennis player access to the kind of intelligent, adaptive training that used to require a full-time hitting partner or private coach,” said Haitham Eletrabi, the founder and CEO of Tennibot. 

“This isn’t just a ball machine. It’s a smart training partner,” he added. 

Tennibot highlighted that the unit also supports Apple Watch integration and full control through the Tennibot mobile app, allowing users to adjust settings from their wrist without leaving the court between drills.

How AI is reshaping tennis training

What separates the Partner V2 from a standard ball machine is its AI-driven custom-drills engine, which transforms the device from a programmable machine into a responsive training robot

Tennibot explained that instead of selecting from preset configurations, the system builds personalized practice sessions tailored to the specific skills a player wants to develop, automatically setting up shot placement, pace, spin, and sequences. This approach demonstrates how far physical AIs have advanced, with robots adapting their behavior in real time in response to user input.

For players who want a fully hands-off session, the Partner V2 can be bundled with Tennibot Rover, a ball collector that handles retrieval automatically. The Robot Report noted that the two machines working together means continuous drilling with no stops to pick up balls manually. 

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Why it matters beyond the court

Tennibot’s robot targets athletes, but its tech aligns with a growing trend in business robotics and AI.

These systems blend edge computing, sensors, and smart algorithms to drive automation in many fields. The release shows how physical AI is moving from concept to deployment in real-world applications, with advanced training capabilities becoming more accessible to individual users. 

Attendees of the 2026 Robotics Summit & Expo in Boston on May 27 to 28 will have an opportunity to try the Partner V2 on the expo floor, according to Auburn Today.

The Partner V2 is available now at an introductory price of $2,245, with a standard retail price of $3,500. Tennibot is also expected to showcase the system at the event.

See how Chinese researchers are training robots to play tennis and what it reveals about real-world AI capabilities.

Kezia Jungco

Kezia Jungco specializes in AI and other technology, rigorously testing and analyzing generative platforms with a particular focus on art generators, chatbots, and NLP tools. She has five years of expertise in crafting content across B2B and B2C sectors. Her portfolio includes in-depth coverage of artificial intelligence, data analytics, and CRM solutions for publications including eWEEK, Datamation, TechnologyAdvice, and Selling Signals.

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