World AI Championships
Physical AI Colosseum in the Wild

Fully autonomous L4–L5 driving takes on Tianmen Mountain's legendary 99 Bends—challenging AI to understand and act within the real physical world.

9
Participating Universities
99
Extreme Hairpin Turns
10.77
Track Length (km)
1100
Elevation Change (m)

Physical AI's Next Peak Moment

On Tianmen Mountain's iconic 99 Bends, Hitch Open is defining the next peak moment for physical AI.

A 10.77-km ascent, 1,100 meters of vertical change, and 99 technical corners—
F1 legend Romain Dumas once set the human benchmark with a 7'38"585 run.

This year, Tsinghua University's AI racecar completed a full autonomous summit run in 16'10"838
under extreme conditions with no GPS, low visibility, and slick surfaces—
marking the first time AI has achieved a complete 'perception–decision–action' loop in the real world.

This is the ignition point for the era of Physical Intelligence.

Human Record

7'38"585
F1 Driver Romain Dumas
2019

AI Record

16'10"838
Tsinghua University Autonomous Racing Team
2025

Racing Into the Physical Intelligence Era

The Hitch Open World AI Championship tests AI perception, planning, and control in real-world extreme environments—accelerating the shift from virtual intelligence to physical intelligence.

Educating Through Competition

Partnering with Tsinghua University, Fudan University, Zhejiang University, Hunan University and more, Hitch Open places students in real mountain-road environments to develop and validate full-stack autonomous systems—becoming a new hands-on classroom for physical intelligence.

Advancing Research Through Racing

Tianmen Mountain's conditions—no GPS, low visibility, steep gradients, and tight hairpins—serve as a real-world stress test for perception, planning, and control algorithms, accelerating the maturity of physical-world AI.

Driving Industry Through Competition

Powered by China Telecom's 5G-A network and cloud infrastructure, each event generates over 3 TB of real-world physical data. This forms an open-source data platform that fuels innovation in autonomous driving, tourism technology, and beyond.

Evaluating AI Through Competition

With open competition and transparent data-sharing standards, Hitch Open unites government, academia, industry, and investment sectors to verify AI safety and real-world feasibility—establishing a new model for physical intelligence governance.

Global Media Impact

500,000+
On-site Spectators at Tianmen Mountain
Total attendance during the Hitch Open Finals
1 Billion+
Mainstream Media Reach
Total audience reached across major national and digital media
8.46 M+
Weibo Topic Peak Heat
Highest trending peak on event day
Official Media Coverage

28 national and industry-leading outlets reported on the event

Social Media Reach

50M+ impressions across platforms, with 16M+ engagements

University Network Amplification

Coverage from six leading universities, reaching over one million young tech audiences

Industry Deep-Dive Reports

Seven top-tier media organizations, such as Xinhua News Agency, Shanghai Securities News, TMTPost, and CCTV Sports, have provided in-depth examinations of the value of AI physical intelligence

Global Media Network

International coverage from Xinhua English, China Daily, and more

Media Coverage

Schedule

2025 Final Venue — Tianmen Mountain's 99 Bends

Spec
Track Length
10.77 km
Spec
Elevation Gain
200m → 1300m
Spec
Number of Turns
99
Spec
Corner Type
Extreme 180° Hairpins
Tianmen Mountain Track Panorama

Tianmen Mountain — Full Track View

The legendary 99 Bends stretch over 10 kilometers, with continuous 180° hairpins. This iconic mountain road serves as the definitive testbed for AI racing, pushing the limits of physical intelligence.

2025 Season Teams

Elite Teams from Top National Universities

2025 Season Leaderboard

Rank Team Tianmen Mountain AI Racing Record Points

Hitch Open Scientific & Technical Committee

Our Goals

The Hitch Open Science and Technology Committee is dedicated to promoting innovation and development in the field of physical intelligence, aiming to incubate phenomenal AI systems and training platforms that benchmark against the highest levels of behavioral intelligence.

Over the past decade, artificial intelligence has achieved milestone breakthroughs in digital domains such as board games, language understanding, and image generation, profoundly changing the perception of the boundaries of machine intelligence. The next phenomenal moment for physical intelligence will occur in the real world—when an AI system can dexterously manipulate objects like a human, navigate and make decisions autonomously in unfamiliar environments, and demonstrate creative problem-solving abilities in dynamic physical scenarios. This moment is truly approaching.

The Committee believes that achieving this breakthrough requires three key pillars: first, building an open, large-scale physical simulation training platform to allow global researchers to train and verify embodied intelligence models in a unified environment; second, establishing evaluation benchmarks that align with the highest human behavioral intelligence to provide a clear measure for technological progress; and third, converging multidisciplinary wisdom through international collaboration to accelerate the transformation from basic research to practical applications.

The arrival of this moment signifies a fundamental transformation for industry—manufacturing, logistics, home services, and medical care fields will welcome a new generation of intelligent systems capable of genuinely understanding and adapting to the physical world, fundamentally changing how humans and machines collaborate. For consumers, it means intelligent technology will move from the screen into every corner of life: household assistants capable of autonomous tidying, safe care partners for the elderly, and flexible travel tools that can cope with complex road conditions. The popularization of physical intelligence will allow everyone to genuinely feel the convenience and safety brought by artificial intelligence in their daily lives.

We will promote the sustainable progress of this emerging technology through global collaboration and knowledge sharing.

Our Work

Explore the long-term technological development directions of physical intelligence

We will carefully analyze the future trends in the physical intelligence field, including the evolution of AI's perception, decision-making, and action capabilities in physical environments, to guide forward-looking industry research.

Promote international cooperation in the physical intelligence industry

We encourage cross-border technical collaboration and resource sharing, pushing research institutions, enterprises, and experts from various countries to jointly address challenges and achieve mutual benefit and win-win results.

Promote international exchange and competition activities with physical intelligence as the focus area

We will organize global forums, seminars, and competitions to inspire innovative ideas and provide a platform for participants to showcase and exchange.

Educate the public on the understanding of physical intelligence safety and promote the mass adoption of physical intelligence products

We are committed to enhancing public awareness of the safety of physical intelligence through educational activities, helping consumers understand potential risks and benefits, thereby fostering the safe application and popularization of these technologies.

Our Commitments

Open source algorithms and data

We will publicly share core algorithms and datasets to support free access and improvement by global developers, promoting the democratic development of physical intelligence technology. Core research papers will be publicly published, model weights and training codes will be released under open licenses, evaluation benchmarks will be open to the global research community, and training platforms will provide open access for academic institutions and independent researchers.

Explore the greatest common denominator of physical intelligence safety

We will actively participate in intergovernmental and international organization policy discussions on physical intelligence safety, providing an enforceable evaluation system for physical intelligence safety through open standards.

Limited focus on the consumer market

Our work emphasis is placed on consumer-oriented applications, ensuring that technological innovation directly serves daily life and enhances everyday user experience and convenience. The Committee will not develop or recommend any specific commercial products, nor will it involve physical intelligence technology that lacks consumer use purposes. Specifically, the scope of the Committee's research and activities does not include applications in the military and aerospace fields.

Our Members

The Hitch Open Science and Technology Committee will operate independently of the Hitch Open championships and Hitch Interactive, and will hold regular Committee general meetings. The addition or removal of members on the Committee will be decided by the Committee general meeting. The Committee currently consists of the following experts:

SL

Dr. Shengbo Li

Professor, School of Vehicle and Mobility, Tsinghua University

HS

Dr. Hyunchul Shim

Professor, Department of Electrical Engineering, KAIST University

AY

Dr. Allen Y. Yang

Chair, AI Racing Program, University of California, Berkeley

We welcome more like-minded experts to join us in shaping the future of physical intelligence.

HITCH OPEN Racing Car

We are seeking innovative teams, educational institutions, and technology partners to push the boundaries of autonomous driving and intelligent racing together.

Interested in participating in 2026 Hitch Open?

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Team Introduction

Faculty Advisors