Unlocking Robotic Motion's

SUPERPOWER

General Robot 'Cerebellum' Developer
Covering areas such as bipedal and quadrupedal robot motion control,
perception and planning

The Best in General Robotics Motion Control

Empowered by high-precision motion capture data and reinforcement learning algorithms, BridgeDP enables humanoid robots to perform human-like actions.

Robot Anthropomorphic Dance

Exclusive Implementation of Zhiyuan A2 Robot

Accelerate Evolution T1 Robot

Achieve Humanoid Dance for Robots

Watch Video

Robot Anthropomorphic Dance

Exclusive Implementation of Zhiyuan A2 Robot

Accelerate Evolution T1 Robot

Achieve Humanoid Dance for Robots

Watch Video

Robot Anthropomorphic Dance

Exclusive Implementation of Zhiyuan A2 Robot

Accelerate Evolution T1 Robot

Achieve Humanoid Dance for Robots

Watch Video

Bridging the Sim2Real Gap

Based on reinforcement learning, phased, multi-level reward mechanism
Enables agents to gradually adapt to real-world environments
Based on reinforcement learning, a phased, multi-level reward mechanism can enable agents to gradually adapt to real-world environments.

Machine Dog with Perception for Stepping Up and Down

Implemented Unitree Technology GO1

Robot dog, perceiving stairs

Watch Video

Watch Video

Watch Video

Solution

Bipedal Robot Motion Control Algorithm

With high versatility and adaptability to various hardware, the performance reaches a world-leading level.

Frontier Algorithms

Frontier Algorithms

Frontier Algorithms

Strategy optimization algorithm based on deep reinforcement learning

Strategy optimization algorithm based on deep reinforcement learning

Strategy optimization algorithm based on deep reinforcement learning

Integrated Algorithm

Integrated Algorithm

Integrated Algorithm

Based on a Learning-based algorithm

Based on a Learning-based algorithm

Based on a Learning-based algorithm

Motor Skills

Motor Skills

Motor Skills

Anthropomorphic Walking (Straight-Legged Walking) Interaction (Dance, Greetings, etc.)

Anthropomorphic Walking (Straight-Legged Walking) Interaction (Dance, Greetings, etc.)

Anthropomorphic Walking (Straight-Legged Walking) Interaction (Dance, Greetings, etc.)

Quick Compatibility

Quick Compatibility

Quick Compatibility

Quickly adapt to various custom bipedal and quadrupedal robotic hardware.

Quickly adapt to various custom bipedal and quadrupedal robotic hardware.

Quickly adapt to various custom bipedal and quadrupedal robotic hardware.

Staircase Navigation Solution

Integrating multimodal perception with real-time decision-making to enable robots to achieve precise recognition and safe passage on stairs and complex terrains.

Multimodal Fusion Perception

Multimodal Fusion Perception

Multimodal Fusion Perception

Environment perception based on vision and radar

Environment perception based on vision and radar

Environment perception based on vision and radar

Perception + Planning

Perception + Planning

Integrating perception and planning to achieve intelligent passage.

Integrating perception and planning to achieve intelligent passage.

Perception + Planning

Integrating perception and planning to achieve intelligent passage.

High Dynamic Motion Capability

High Dynamic Motion Capability

Quadruped to Biped Switch + Little Dinosaur Upright Gait

Quadruped to Biped Switch + Little Dinosaur Upright Gait

High Dynamic Motion Capability

Quadruped to Biped Switch + Little Dinosaur Upright Gait

Mobile Operations

Combined operation of the foot-type chassis and robotic arms

Combined operation of the foot-type chassis and robotic arms

Mobile Operations

Combined operation of the foot-type chassis and robotic arms

Exclusively for Biped and Quadruped Robots

Offering Motion Control Solutions

20+

20+

By Q1 2025

BridgeDP has been deployed in 20+ robot manufacturers

Covers humanoid, quadruped, and wheeled models, etc.

41%

41%

World Robot Conference 2024 (WRC)

Out of the 27 robotic manufacturers attending, 11 are already being served.

39%

39%

2024 World Artificial Intelligence Conference (WAIC)

Among 18 exhibiting robotics companies, already serving 7

Exclusively for Biped and Quadruped Robots

Offering Motion Control Solutions

20+

By Q1 2025

BridgeDP has been deployed in 20+ robot manufacturers

Covers humanoid, quadruped, and wheeled models, etc.

41%

World Robot Conference 2024 (WRC)

Out of the 27 robotic manufacturers attending, 11 are already being served.

39%

2024 World Artificial Intelligence Conference (WAIC)

Among 18 exhibiting robotics companies, already serving 7

Core Delivery

Efficient delivery, comprehensive coverage, the strongest legged motion control solution

Efficient delivery, comprehensive coverage, the strongest legged motion control solution

Based on modular motion control and iterative learning algorithms,
to assist customers in efficiently adapting to various robotic forms and application scenarios

Cost-effective

Using the hardware entity to provide 'Motion Control Algorithms' that support customers in calling basic motion modules as needed

Reduced development costs

60%

Rapid Delivery

Traditional R&D cycles often require 3 to 4 months; we can significantly compress this down to a few weeks.

Enhanced Development Efficiency

3~4x

High market share

Comprehensive Coverage of Humanoid Robots, Quadruped Robotic Dogs, and Wheel-Legged Hybrid Models

BridgeDP deployment exceeds

20+

Rapid Iteration at Full Speed

Based on Learning-based algorithms, continuously developing new sets of actions

Algorithm Upgrade

Monthly Iteration

Cost-effective

Using the hardware entity to provide 'Motion Control Algorithms' that support customers in calling basic motion modules as needed

Reduced development costs

60%

Rapid Delivery

Traditional R&D cycles often require 3 to 4 months; we can significantly compress this down to a few weeks.

Enhanced Development Efficiency

3~4x

High market share

Comprehensive Coverage of Humanoid Robots, Quadruped Robotic Dogs, and Wheel-Legged Hybrid Models

BridgeDP deployment exceeds

20+

Rapid Iteration at Full Speed

Based on Learning-based algorithms, continuously developing new sets of actions

Algorithm Upgrade

Monthly Iteration

Cost-effective

Using the hardware entity to provide 'Motion Control Algorithms' that support customers in calling basic motion modules as needed

Reduced development costs

60%

Rapid Delivery

Traditional R&D cycles often require 3 to 4 months; we can significantly compress this down to a few weeks.

Enhanced Development Efficiency

3~4x

High market share

Comprehensive Coverage of Humanoid Robots, Quadruped Robotic Dogs, and Wheel-Legged Hybrid Models

BridgeDP deployment exceeds

20+

Rapid Iteration at Full Speed

Based on Learning-based algorithms, continuously developing new sets of actions

Algorithm Upgrade

Monthly Iteration

About Us

General Developer of Robotic Motion Control

BridgeDP is an industry-leading developer of a general-purpose robot 'cerebellum', covering areas such as bipedal and quadrupedal robot motion control, perception, and planning.
BridgeDP is dedicated to overcoming the efficiency bottlenecks and physical transfer challenges of traditional robotic movement development. It helps clients quickly achieve complex motion functions for quadruped robots, such as precise walking, high-speed running, dynamic jumping, multi-terrain adaptability, and high-precision dance movements. At the same time, it provides foundational technical support for core scenarios such as balance control and full-body coordination of biped humanoid robots.

Investor

Contact Us

Contact Number

Contact Number

Contact Number

+86 185 7553 5266

+86 185 7553 5266

+86 185 7553 5266

WeChat

WeChat

WeChat

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Copyright © 2023 – 2024 BridgeDP (Shenzhen) Technology Co., Ltd. All rights reserved 

粤ICP备2023101324号-1

© BridgeDP | Developer of a General-Purpose Robot 'Mini-Brain'

Copyright © 2023 – 2024 BridgeDP (Shenzhen) Technology Co., Ltd. All rights reserved 

粤ICP备2023101324号-1

© BridgeDP | Developer of a General-Purpose Robot 'Mini-Brain'

Copyright © 2023 – 2024 BridgeDP (Shenzhen) Technology Co., Ltd. All rights reserved 

粤ICP备2023101324号-1

© BridgeDP | Developer of a General-Purpose Robot 'Mini-Brain'