Release
Jan 1, 2015
Price
Price TBA
Connectivity
1
Status
Prototype
Height
170cm
Weight
80kg
Battery
~60 min (task-dependent)
Speed
~3 km/h (wheeled mode), ~1.5 km/h (walking)
DRC-HUBO+
The DRC-HUBO+ is the DARPA Robotics Challenge-winning humanoid robot developed by Team KAIST at the Korea Advanced Institute of Science and Technology. It won first place and the $2 million prize at the DRC Finals in Pomona, California on June 6, 2015, completing all eight disaster-response tasks faster than any competitor. Its key innovation is the ability to transform between a walking bipedal posture and a wheeled kneeling posture — it drops to its knees and rolls on built-in knee wheels for fast, stable traversal, then stands up to use its arms and climb stairs. Built on the HUBO 2 (KHR-4) platform originally released in 2005, it represents over 15 years of humanoid research at KAIST led by Professor Jun-Ho Oh.
Listed price
Price TBA
Research platform (not commercially available)
Release window
Jan 1, 2015
Current status
Prototype
KAIST
Last verified
Apr 1, 2026
Technical overview
Core specifications and system stack
A fast read on the mechanical profile, sensing package, and platform integrations behind DRC-HUBO+.
Technical Specifications
Height
170cm
Weight
80kg
Battery Life
~60 min (task-dependent)
Charging Time
Not disclosed
Max Speed
~3 km/h (wheeled mode), ~1.5 km/h (walking)
Payload
Not disclosed
Tech Components
Connectivity (1)
Operational profile
How this robot is configured
Capabilities
10
Connectivity
1
Key capabilities
Ecosystem fit
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About the DRC-HUBO+
The DRC-HUBO+ is a Research robot built by KAIST. The DRC-HUBO+ is the DARPA Robotics Challenge-winning humanoid robot developed by Team KAIST at the Korea Advanced Institute of Science and Technology. It won first place and the $2 million prize at the DRC Finals in Pomona, California on June 6, 2015, completing all eight disaster-response tasks faster than any competitor. Its key innovation is the ability to transform between a walking bipedal posture and a wheeled kneeling posture — it drops to its knees and rolls on built-in knee wheels for fast, stable traversal, then stands up to use its arms and climb stairs. Built on the HUBO 2 (KHR-4) platform originally released in 2005, it represents over 15 years of humanoid research at KAIST led by Professor Jun-Ho Oh.
Pricing has not been publicly disclosed — typical for robots still in development. See all KAIST robots on the KAIST page.
Spec Breakdown
Detailed specifications for the DRC-HUBO+
Height
170cmAt 170cm, the DRC-HUBO+ is sized for its intended operating environment and use cases.
Weight
80kgWeighing 80kg, the DRC-HUBO+ balances structural integrity with portability and maneuverability.
Battery Life
~60 min (task-dependent)With a battery life of ~60 min (task-dependent), the DRC-HUBO+ can operate for sustained periods before requiring a recharge. Battery life is measured under typical operating conditions and may vary based on workload intensity and environmental factors.
Maximum Speed
~3 km/h (wheeled mode), ~1.5 km/h (walking)A top speed of ~3 km/h (wheeled mode), ~1.5 km/h (walking) is calibrated for the robot's primary operating environment and safety requirements.
Payload Capacity
Not disclosedA payload capacity of Not disclosed determines what the robot can carry or manipulate. This is a critical spec for practical applications where the robot needs to handle physical objects.
The DRC-HUBO+ uses Semi-autonomous with human operator interface; FPGA-based 200Hz control loop as its intelligence backbone. This AI platform powers the robot's decision-making, perception processing, and autonomous behavior. The sophistication of the AI stack directly impacts how well the robot handles unexpected situations and adapts to new environments.
DRC-HUBO+ Sensor Suite
The DRC-HUBO+ integrates 7 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the DRC-HUBO+ to perceive its environment and operate autonomously in its intended use cases. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
DRC-HUBO+ Use Cases & Applications
Research robots serve as platforms for advancing robotics science and engineering. They enable researchers to test theories about locomotion, manipulation, perception, and human-robot interaction in controlled and real-world environments.
Capabilities That Enable Real-World Use
The DRC-HUBO+ offers 10 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 7 onboard sensor types and Semi-autonomous with human operator interface; FPGA-based 200Hz control loop AI platform to deliver practical, real-world performance.
Ecosystem Integration
The DRC-HUBO+ integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the DRC-HUBO+ to work as part of a broader automation setup rather than operating in isolation.
DRC-HUBO+ Capabilities
10
Capabilities
7
Sensor Types
AI
Semi-autonomous with human o…
Connectivity & Integration
How the DRC-HUBO+ communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
DRC-HUBO+ Technology Stack Overview
The DRC-HUBO+ by KAIST integrates 9 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 170cm, a weight of 80kg, a top speed of ~3 km/h (wheeled mode), ~1.5 km/h (walking), providing the foundation on which this technology stack operates.
Perception — 7 Sensor Types
The perception layer is built on Stereo Cameras, LIDAR, IMU, Gyroscopes, Accelerometers, Force/Torque Sensors (feet), Encoders. These work in concert to give the robot a detailed understanding of its operating environment. This multi-sensor approach provides redundancy and enables the robot to function reliably even when individual sensors encounter challenging conditions such as low light, reflective surfaces, or cluttered spaces.
Connectivity — 1 Protocol
For communications, the DRC-HUBO+ relies on Wireless (tethered control link for DRC). This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
Intelligence — Semi-autonomous with human operator interface; FPGA-based 200Hz control loop
Semi-autonomous with human operator interface; FPGA-based 200Hz control loop serves as the computational brain, processing sensor data, making navigation decisions, and orchestrating the robot's autonomous behaviors. The quality of this AI platform directly influences how well the robot handles novel situations, adapts to changes in its environment, and improves its performance over time through learning.
Who Should Consider the DRC-HUBO+?
Target Audience
Research robots are acquired by universities, government labs, and corporate R&D departments. They serve as experimental platforms for developing new algorithms, testing locomotion strategies, and advancing the field of robotics. Some are also used for educational purposes.
Key Considerations
Open-source software compatibility (ROS/ROS 2), sensor modularity, programmability, available SDK/API quality, community support, and published research papers using the platform are key factors. Documentation quality and the ability to modify both hardware and software are essential for research use.
Pricing
Availability
PrototypeThe DRC-HUBO+ is currently in the prototype stage. It is not yet available for purchase, and specifications may change before the final product is released.
DRC-HUBO+: Strengths & Trade-offs
Engineering compromises and where this research robot excels
What the DRC-HUBO+ does well
Extensive sensor suite
With 7 sensor types onboard, the DRC-HUBO+ has one of the more comprehensive perception systems in the research category. This multi-modal approach enables robust environmental awareness, redundant obstacle detection, and reliable autonomous operation even in challenging conditions. More sensor diversity generally translates to better real-world adaptability.
Broad capability set
With 10 distinct capabilities, the DRC-HUBO+ is designed as a versatile platform rather than a single-task device. This breadth means the robot can handle varied scenarios and workflows, reducing the need for multiple specialized robots and increasing its utility across different situations.
What to consider carefully
Limited battery runtime
A battery life of ~60 min (task-dependent) means shorter operational windows between charges. For applications requiring continuous or extended operation, this may necessitate scheduling around charge cycles or deploying multiple units in rotation. Evaluate whether the runtime meets your minimum session requirements before committing.
Significant weight
At 80kg, the DRC-HUBO+ is a substantial piece of equipment. This weight contributes to stability and robustness but also means the robot requires careful consideration of floor load limits, transportation logistics, and the potential impact force in the event of unexpected contact with people or objects.
Undisclosed pricing
KAIST has not published a public price for the DRC-HUBO+. While common for enterprise-class robotics, the absence of transparent pricing can complicate budgeting and comparison shopping. Prospective buyers will need to engage directly with the manufacturer for quotes, which may vary by configuration and volume.
Currently in prototype
The DRC-HUBO+ is not yet available as a finished, shipping product. Specifications may change before commercial release, and timelines for availability are subject to revision. Early adopters should account for this uncertainty in their planning.
Note: This strengths and trade-offs assessment is based on the DRC-HUBO+'s documented specifications as tracked in the ui44 database. Real-world performance depends on deployment conditions, firmware maturity, and environmental factors. For the most current information, check the KAIST manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
How Research Robot Technology Works
Understanding the engineering behind this category
Research robots serve a fundamentally different purpose than commercial or consumer models. They are platforms for discovery — enabling scientists and engineers to test theories, develop algorithms, and push the boundaries of what robots can do. The technology in research robots prioritizes openness, flexibility, and access to raw data over consumer-friendly packaging or commercial reliability. Understanding this distinction is important for anyone considering a research robot platform.
Navigation & Mobility
Research robots typically expose their navigation systems at a much lower level than commercial products. Researchers can access raw sensor data, modify SLAM algorithms, implement custom path planners, and test novel navigation approaches. ROS (Robot Operating System) and ROS 2 compatibility is standard, providing a common framework for sharing navigation modules across the research community. This openness enables rapid iteration — a researcher can swap between different SLAM implementations, test new obstacle avoidance strategies, or develop entirely novel navigation paradigms without being locked into a vendor's proprietary stack.
The Role of AI
Research robots serve as physical testbeds for AI algorithms that may eventually appear in commercial products years later. Reinforcement learning, imitation learning, few-shot task learning, and human-robot interaction studies all require robot platforms that can execute AI-generated commands in the physical world. The gap between simulation (where training is cheap and fast) and reality (where physics is unforgiving) makes physical robot platforms essential for validating AI approaches. Research robots must support rapid deployment of new AI models without extensive integration work.
Sensor Fusion & Perception
Research platforms prioritize sensor modularity and data access. Standard mounting interfaces allow researchers to attach custom sensors alongside built-in ones. Raw sensor data streams (not just processed results) are accessible for developing novel perception algorithms. Precise time-stamping and synchronization across sensor streams enable accurate multi-modal fusion research. Many research robots include more sensors than strictly necessary for any single application, providing researchers with rich datasets for developing and testing new algorithms.
Power & Battery Management
Research robots balance operational runtime with practical lab use. Sessions of one to four hours are typical, with quick charging between experiments. Some research setups use tethered power for long-running experiments where battery limitations would interrupt data collection. Power monitoring and logging capabilities help researchers understand the energy costs of different behaviors and algorithms — important for developing efficient approaches that will eventually run on battery-constrained commercial systems.
Safety by Design
Research environments present unique safety challenges because robots are constantly being programmed with untested behaviors. Hardware safety limits (joint speed caps, force limits, emergency stops) must be robust regardless of software commands. Safety-rated monitored stop and speed monitoring ensure the robot cannot exceed safe operating parameters even when running experimental code. Collaborative operation standards apply when researchers work alongside the robot during experiments. Many labs implement layered safety with physical barriers for high-speed testing and open-area operation restricted to validated, lower-risk behaviors.
What's Next for Research Robots
Research robot platforms are becoming more accessible and capable. Cloud robotics enables remote experiment execution and shared datasets. Digital twins and high-fidelity simulators reduce the need for physical hardware time while improving sim-to-real transfer. Standardized benchmarks and open datasets enable fair comparison of results across labs. The democratization of robotics research — through lower-cost platforms, open-source software, and cloud infrastructure — is expanding who can contribute to advancing the field.
The DRC-HUBO+ by KAIST incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the DRC-HUBO+, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
DRC-HUBO+ in the Research Market
How this robot compares in the research landscape
KAIST has not publicly disclosed pricing for the DRC-HUBO+, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
With 7 sensor types, the DRC-HUBO+ has an extensive sensor suite. This comprehensive sensing capability places it among the more perception-capable robots in the research category, enabling more robust autonomous operation in varied conditions.
As a robot still in prototype, the DRC-HUBO+ represents KAIST's vision for where research robotics is heading. Specifications may evolve before commercial release, and early performance demonstrations should be evaluated with this context in mind.
Head-to-Head Comparisons
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of KAIST's portfolio and market strategy, visit the KAIST manufacturer page.
Owning the DRC-HUBO+: Setup, Maintenance & Tips
Practical guide from day one through years of ownership
Initial Setup
Research robot setup combines hardware assembly with software environment configuration. Unpack and assemble the platform following the manufacturer's documentation. Install the development framework — typically ROS or ROS 2 — and verify sensor connectivity. Calibrate all sensors using the manufacturer's tools and procedures. Set up the simulation environment (Gazebo, Isaac Sim, or equivalent) alongside the physical platform for parallel development. Establish version control for your experiment code and configuration. Document the initial calibration values and system state as your baseline for future reference. Plan network and computing infrastructure to handle the data rates your sensors will generate.
Ongoing Maintenance
Research robots need maintenance that preserves the precision required for valid experimental results. Regularly verify sensor calibration — drift in camera intrinsics or IMU biases can invalidate experiment data. Maintain clean workspace conditions to protect optical sensors. Document any hardware modifications or maintenance performed, as these can affect experimental reproducibility. Update software dependencies carefully, documenting versions used for each experiment. Joint and actuator wear in research robots that perform repetitive tasks should be monitored and factored into experimental design.
Software Updates & Long-Term Support
Research robot software updates require careful management to maintain experiment reproducibility. Document the exact software versions used for each experiment. Test updates in a separate environment before applying to your experiment platform. Contribute bug fixes and improvements back to the community when using open-source frameworks. Be aware that ROS and other framework updates may require code changes in your custom packages — budget time for integration testing after major framework updates.
Maximizing Longevity
Research robots often have longer productive lives than commercial products because they can be upgraded and repurposed. Extend your investment by maintaining clean mechanical and electrical systems, documenting all modifications for future lab members, and keeping spare parts for common wear items. When specific components become obsolete, community forums and lab networks can be valuable sources for replacements. Consider the platform's modularity when planning future research directions — a platform that can accept new sensors and actuators adapts to evolving research questions.
For KAIST-specific support resources and documentation, visit the KAIST page on ui44 or check the manufacturer's official website at KAIST's product page.
Frequently Asked Questions
What is the DRC-HUBO+?
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Data Integrity
All DRC-HUBO+ data on ui44 is verified against official KAIST sources, including spec sheets, product pages, and press releases. Last verified: 2026-04-01. Official source: KAIST product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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