Tech Beetle briefing CA AI

Meet the robots of the future that are already hopping, slithering, and driving around U of T

Essential brief

The University of Toronto recently hosted its annual robotics conference, featuring innovative robots like the Hopcopter, a LiDAR-equipped device that combines jumping and flying for efficient move

Key topics

meet robots future that already hopping slithering driving University Toronto Hopcopter

Key facts

The Hopcopter robot combines jumping and flying for efficient movement and industrial mapping.

Soft robots developed at U of T offer adaptable, gentle manipulation suited for medical and rehabilitation tasks.

Researchers are automating complex fetal surgeries using reinforcement learning and simulation technology.

U of T is developing small lunar rovers for cargo transport in collaboration with MDA Space and the Canadian Space Agency.

Highlights

University of Toronto hosted its annual robotics conference with nearly 400 participants.

Hopcopter robot uses four propellers and a pointed foot to hop and fly, aiding industrial mapping.

Continuum Robotics Lab focuses on soft, tendon-driven robots for delicate tasks.

Medical Computer Vision and Robotics Lab works on automating Twin-to-Twin Transfusion Syndrome surgery.

Autonomous Space Robotics Lab develops multi-robot lunar cargo transport systems.

Why it matters

The advancements in robotics at the University of Toronto reflect significant progress in physical AI, with applications ranging from industrial mapping and medical surgery to lunar exploration and autonomous driving. These innovations showcase Canada’s potential to lead in robotics technology, addressing real-world challenges and expanding the capabilities of automated systems across multiple sectors.

The University of Toronto (U of T) recently held its annual robotics conference at the Mississauga campus, drawing nearly 400 students, professors, and entrepreneurs to showcase cutting-edge robotic technologies. Among the highlights was the Hopcopter, a small robot equipped with four propellers atop a single pointed foot, enabling it to hop and fly efficiently. Developed by Song Li, a visiting PhD student from City University of Hong Kong, the LiDAR-equipped Hopcopter is designed to recycle energy, adapt to various terrains, and overcome large obstacles, making it suitable for mapping industrial environments.

At U of T’s Continuum Robotics Laboratory, researchers are advancing "soft robots"—snake-like, tendon-driven devices with flexible, jointless designs. PhD student Jimmy Shentu demonstrated a robotic arm capable of gently toggling a light switch, illustrating the potential for these robots in human rehabilitation, surgery, and accessing confined spaces.

The Medical Computer Vision and Robotics Lab is focusing on automating a rare and complex fetal surgery called fetoscopic laser photocoagulation, used to treat Twin-to-Twin Transfusion Syndrome. Undergraduate student Khushi Malik is training a reinforcement learning system to perform this procedure autonomously, supported by a simulator developed with Mount Sinai Hospital.

U of T’s Autonomous Space Robotics Lab is developing small, four-wheel lunar rovers designed to transport cargo between landing sites and research bases on the moon. PhD students Luka Antonyshyn and Anthony Beca are collaborating with Brampton-based MDA Space on this project, which aims to create versatile and cost-effective lunar utility vehicles for the Canadian Space Agency.

On Earth, U of T’s aUToronto team operates a modified Chevrolet Volt equipped with advanced autonomy and sensor systems. The vehicle recently secured its eighth first-place finish in nine years at an international competition hosted by General Motors. The team plans to autonomously drive the Volt 18 kilometers through Toronto streets within the year, marking a significant milestone in urban autonomous driving.

These projects collectively demonstrate the breadth of robotics research at U of T, spanning industrial applications, healthcare, space exploration, and autonomous vehicles, positioning Canada as a key player in the evolving physical AI landscape.

Key topics in this update include meet, robots, and future that.