Hesai Powers Safety-Certified AI Autonomy for Smart Logistics with 3D Lidar at MODEX 2026
Rhea-AI Summary
Hesai (NASDAQ: HSAI) showcased its JT128 mini 3D lidar at MODEX 2026 and announced a collaboration with Thoro.ai to power the latter’s safety-certified AI autonomy across industrial and commercial robots.
The JT128 will equip four new autonomous mobile robots launching next year, offering a 30 mm window height, 70% smaller volume, and a 360°×187° ultra-hemispherical field of view for all-around perception.
AI-generated analysis. Not financial advice.
Positive
- Four AMRs to ship next year powered by JT128
- JT128 achieves 70% smaller volume vs. similar products
- 360°×187° ultra-hemispherical field of view enabling vertical awareness
Negative
- None.
News Market Reaction – HSAI
On the day this news was published, HSAI gained 5.15%, reflecting a notable positive market reaction.
Data tracked by StockTitan Argus on the day of publication.
Key Figures
Market Reality Check
Peers on Argus
HSAI was down 1.41% while key auto-parts peers like AAP, DAN, GTX, ATMU and VC all showed gains between 0.17% and 1.92%, pointing to stock-specific factors rather than a sector-wide move.
Previous AI Reports
| Date | Event | Sentiment | Move | Catalyst |
|---|---|---|---|---|
| Mar 16 | AI safety collaboration | Positive | -0.5% | Joined NVIDIA Halos lab for safety and AI compliance validation. |
| Apr 24 | AI robotaxi selection | Positive | +4.5% | AT128 chosen as primary lidar for Pony.ai robotaxis. |
Recent AI-tag headlines have been strategically positive, with one modestly negative and one positive price reaction, suggesting mixed but generally supportive trading responses to AI partnerships.
Over the past year, Hesai’s AI-related news has focused on deepening its role in autonomous systems. On Mar 16, 2026, it joined the NVIDIA Halos AI Systems Inspection Lab to validate lidar platforms for safety, cybersecurity, and AI compliance. On Apr 24, 2025, its AT128 was selected as primary lidar for Pony.ai’s seventh‑generation Robotaxi fleet, each vehicle using four sensors. Today’s logistics‑focused AI autonomy collaboration extends this trajectory from robotaxis and AV safety into warehouse and industrial robotics.
Historical Comparison
Past AI-tag releases averaged a 1.98% move, tied to safety validation and robotaxi design wins. This MODEX 2026 logistics autonomy deal fits the pattern of strategic AI collaborations.
AI-related news has progressed from robotaxi and AV safety platforms toward broader industrial and warehouse robotics autonomy use cases.
Market Pulse Summary
The stock moved +5.2% in the session following this news. A strong positive reaction aligns with Hesai’s pattern of using AI collaborations to broaden its lidar footprint. Prior AI-tag news around NVIDIA validation and robotaxis saw an average move of 1.98%. This logistics-focused deal extends that strategy into warehouses and industrial robots. Investors may weigh execution on new robot launches and broader robotics adoption as key factors for sustaining enthusiasm.
Key Terms
lidar technical
3d lidar technical
autonomous mobile robots technical
field of view technical
AI-generated analysis. Not financial advice.
Thoro.ai is a software-first robotics company dedicated to enabling OEMs to launch safety-certified autonomous solutions with minimal in-house development. Through CoreFlex — a unified sensor and software suite — OEMs can accelerate time to market, reduce costs, and scale a single autonomy solution across multiple robot types. High-performance sensors like Hesai's JT128 are critical to making this versatile architecture a reality, providing reliable data that can be used consistently across different machines and applications.
Hesai's collaboration with Thoro.ai has already begun with significant developments underway. Four new autonomous mobile robots slated for release next year will all be powered by the JT128 lidar. Designed for various workflows across cleaning and material handling, this integration highlights the scalability of CoreFlex and the JT128's ability to accelerate a wide range of autonomous applications.
With its slim 30 mm window height and a
In addition to its compact size, the JT128 features the world's widest 360° × 187° ultra-hemispherical field of view, delivering all-around perception coverage with no blind spots. In warehouse environments, some of Thoro.ai's robots require vertical awareness to detect objects beneath forks and align with rack beams above. The vertical field of view of the JT128 enables true autonomous pallet handling while meeting strict safety standards.
Because lidar actively emits laser light, it is not affected by ambient lighting conditions. This makes the JT128 highly reliable across all of Thoro.ai's robotic applications, including challenging environments with reflective surfaces and glass.
"At Thoro.ai, we think about each of these OEM partnerships not just as standalone projects, but as part of our CoreFlex autonomy architecture: a modular, safety-certified platform designed to scale across many machine types," says Patrick Mondi, CEO of Thoro.ai. "The JT series plays a key role in making that possible by giving us reliable, high-fidelity perception that works consistently across very different form factors. This simplifies the integration process for our partners, lowers their development costs, and gets their autonomous solutions to market faster. Hesai's responsiveness, bug testing, and rapid iteration cycles also align directly with our mission to deliver safe, reliable autonomy at scale."
The collaboration between Hesai and Thoro.ai marks a significant step forward in the robotics industry. By integrating Thoro.ai's advanced AI-driven autonomy software with Hesai's high-performance JT128 lidar, the two companies are enabling OEMs to launch autonomous mobile robots that are safer, more intelligent, and faster to deploy. Visitors are invited to stop by Hesai's booth (Hall A #5306) at MODEX 2026 to see firsthand how the company's latest innovations are shaping the future of smart logistics.
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SOURCE Hesai Technology