Robot dossier
DAKSHA (TARA Gen 2)
Release
Feb 18, 2026
Price
Price TBA
Connectivity
1
Status
Development
Height
190 cm
Weight
120–150 kg
Battery
Up to 6 hours; around 4 hours under heavy load
Speed
Not publicly disclosed
Payload
Up to 20 kg
DAKSHA, also presented by iHub Robotics as TARA Gen 2, is a semi-humanoid industrial robot for factory and warehouse automation. iHub's official product page describes a 190 cm, 120–150 kg platform with dual 7-DoF robotic arms, HD stereo vision with depth perception, autonomous and teach modes, and Viveka Decision Core AI for physical-task orchestration. The company says the robot is aimed at assembly, inspection, pick-and-sort, handling, and transfer workflows, with up to 20 kg payload capacity, a 400 mm lifting range, and up to 6 hours of battery backup under lighter duty. iHub's newsroom says Daksha Gen 2 launched at the AI Impact Summit 2026 in New Delhi for industrial deployment; the site still frames access through an early-access application rather than a public sales listing.
Listed price
Price TBA
No public manufacturer pricing announced; iHub's product page currently offers early-access booking rather than a public checkout. Third-party price ranges are not treated as official pricing.
Release window
Feb 18, 2026
Current status
Development
iHub Robotics
Last verified
May 9, 2026
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Technical overview
A fast read on the mechanical profile, sensing package, and platform integrations behind DAKSHA (TARA Gen 2).
Height
190 cm
Weight
120–150 kg
Dimensions
1900 × 700 × 600 mm listed on the official page; page also lists 190 cm height
Battery Life
Up to 6 hours; around 4 hours under heavy load
Charging Time
Not publicly disclosed
Max Speed
Not publicly disclosed
Payload
Up to 20 kg
Operational profile
Capabilities
16
Connectivity
1
Key capabilities
Ecosystem fit
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The DAKSHA (TARA Gen 2) is a Humanoid robot built by iHub Robotics. DAKSHA, also presented by iHub Robotics as TARA Gen 2, is a semi-humanoid industrial robot for factory and warehouse automation. iHub's official product page describes a 190 cm, 120–150 kg platform with dual 7-DoF robotic arms, HD stereo vision with depth perception, autonomous and teach modes, and Viveka Decision Core AI for physical-task orchestration. The company says the robot is aimed at assembly, inspection, pick-and-sort, handling, and transfer workflows, with up to 20 kg payload capacity, a 400 mm lifting range, and up to 6 hours of battery backup under lighter duty. iHub's newsroom says Daksha Gen 2 launched at the AI Impact Summit 2026 in New Delhi for industrial deployment; the site still frames access through an early-access application rather than a public sales listing.
Pricing has not been publicly disclosed — typical for robots still in development. See all iHub Robotics robots on the iHub Robotics page.
Detailed specifications for the DAKSHA (TARA Gen 2)
Height
190 cmAt 190 cm, the DAKSHA (TARA Gen 2) is designed to operate in human-scale environments, allowing it to reach countertops, shelves, and interfaces designed for human height.
Weight
120–150 kgWeighing 120–150 kg, the DAKSHA (TARA Gen 2) needs to balance mass for stability during bipedal locomotion while remaining light enough for safe human interaction.
Dimensions
1900 × 700 × 600 mm listed on the official page; page also lists 190 cm heightThe overall dimensions of 1900 × 700 × 600 mm listed on the official page; page also lists 190 cm height define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
Up to 6 hours; around 4 hours under heavy loadWith a battery life of Up to 6 hours; around 4 hours under heavy load, the DAKSHA (TARA Gen 2) 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.
Charging Time
Not publicly disclosedA charging time of Not publicly disclosed means the ratio of operation to downtime is an important consideration for applications requiring near-continuous availability. Some deployments use multiple robots in rotation to maintain uninterrupted service.
Maximum Speed
Not publicly disclosedA top speed of Not publicly disclosed approximates human walking pace, enabling the robot to keep up with people in shared environments.
Payload Capacity
Up to 20 kgA payload capacity of Up to 20 kg determines what the robot can carry or manipulate. This is a critical spec for manipulation tasks, determining what objects the robot can lift, carry, and work with.
The DAKSHA (TARA Gen 2) uses Viveka Decision Core AI, described by iHub as a VLA orchestration engine for contextual world understanding, multimodal reasoning, long-horizon task planning, natural-language command execution, and self-improving execution; detailed onboard compute is listed only as upgradeable AI compute. 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.
The DAKSHA (TARA Gen 2) integrates 3 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the DAKSHA (TARA Gen 2) to perceive its 3D environment, recognize objects and people, navigate complex spaces, and perform precise manipulation tasks. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
Humanoid robots are designed for environments built for humans — warehouses, factories, healthcare facilities, and eventually homes. Their bipedal form allows them to navigate stairs, doorways, and workspaces designed for human bodies without requiring environmental modifications.
The DAKSHA (TARA Gen 2) offers 16 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 3 onboard sensor types and Viveka Decision Core AI, described by iHub as a VLA orchestration engine for contextual world understanding, multimodal reasoning, long-horizon task planning, natural-language command execution, and self-improving execution; detailed onboard compute is listed only as upgradeable AI compute. AI platform to deliver practical, real-world performance.
The DAKSHA (TARA Gen 2) integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the DAKSHA (TARA Gen 2) to work as part of a broader automation setup rather than operating in isolation.
16
Capabilities
3
Sensor Types
AI
Viveka Decision Core AI, des…
How the DAKSHA (TARA Gen 2) communicates with your network, smart home devices, cloud services, and companion apps.
The DAKSHA (TARA Gen 2) by iHub Robotics integrates 5 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 190 cm, a weight of 120–150 kg, a top speed of Not publicly disclosed, providing the foundation on which this technology stack operates.
The perception layer is built on HD stereo vision, 3D depth perception, Spatial-awareness vision system. 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.
For communications, the DAKSHA (TARA Gen 2) relies on Not publicly disclosed. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
Viveka Decision Core AI, described by iHub as a VLA orchestration engine for contextual world understanding, multimodal reasoning, long-horizon task planning, natural-language command execution, and self-improving execution; detailed onboard compute is listed only as upgradeable AI compute. 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.
Humanoid robots are typically targeted at enterprise customers, research institutions, and forward-thinking businesses looking to automate tasks that require human-like form and dexterity. While some models are approaching consumer pricing, the majority remain in the commercial and industrial space.
When evaluating a humanoid robot, payload capacity, degrees of freedom, and manipulation dexterity are critical factors. Battery life and charging time determine operational uptime. The AI platform determines how well the robot can adapt to new tasks and environments. Consider whether the robot needs to work alongside humans (requiring safety certifications) or will operate independently.
Pricing
The DAKSHA (TARA Gen 2) is currently in active development. Follow iHub Robotics for updates on when the robot will become available for purchase or pre-order.
Engineering compromises and where this humanoid robot excels
With 16 distinct capabilities, the DAKSHA (TARA Gen 2) 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.
A battery life of Up to 6 hours; around 4 hours under heavy load provides substantial operational runway. For humanoid applications, this means longer work sessions between charges, fewer interruptions, and the ability to complete larger tasks or cover more area in a single charge cycle.
With a payload capacity of Up to 20 kg, the DAKSHA (TARA Gen 2) can handle meaningful physical tasks. This capacity enables practical applications like carrying tools, transporting materials, or supporting equipment mounts that lighter robots simply cannot accommodate.
At 120–150 kg, the DAKSHA (TARA Gen 2) 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.
iHub Robotics has not published a public price for the DAKSHA (TARA Gen 2). 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.
The DAKSHA (TARA Gen 2) 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 DAKSHA (TARA Gen 2)'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 iHub Robotics manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
Understanding the engineering behind this category
Humanoid robots represent one of the most technically ambitious categories in robotics. Building a machine that walks, balances, manipulates objects, and interacts naturally with humans requires breakthroughs across multiple engineering disciplines simultaneously. Understanding the technology behind humanoid robots helps buyers and enthusiasts appreciate both the capabilities and limitations of current systems.
Humanoid robots navigate using a combination of visual SLAM (Simultaneous Localization and Mapping), depth sensing, and inertial measurement. Unlike wheeled robots that simply avoid obstacles, humanoids must plan footstep placement, maintain dynamic balance on uneven surfaces, and anticipate terrain changes. Advanced systems use predictive models to plan several steps ahead, similar to how humans unconsciously adjust their gait when approaching stairs or rough ground. The computational requirements for real-time bipedal navigation are substantial, often requiring dedicated motion-planning processors separate from the main AI system.
Artificial intelligence in humanoid robots serves multiple roles: high-level task planning (understanding what needs to be done), perception (recognizing objects, people, and environments), manipulation planning (figuring out how to grasp and move objects), and social interaction (understanding speech, gestures, and context). Modern humanoids increasingly use large language models and vision-language models for task understanding, allowing them to interpret natural language instructions and generalize to new tasks without explicit programming for each scenario.
The sensor suite in a humanoid robot must provide comprehensive environmental awareness while maintaining real-time processing speeds. Sensor fusion algorithms combine data from cameras, LiDAR, depth sensors, force/torque sensors, and IMUs to create a unified model of the robot's surroundings. This multi-modal perception is critical because no single sensor type works perfectly in all conditions — cameras struggle in darkness, LiDAR cannot distinguish materials, and touch sensors only detect what the robot physically contacts. By combining these inputs, the robot achieves more robust and reliable perception than any individual sensor could provide.
Battery technology is one of the primary limiting factors for humanoid robots. Bipedal locomotion is inherently energy-intensive — maintaining balance requires constant motor activity even when standing still. Current lithium-ion battery packs typically provide two to four hours of active operation, with charging times that can match or exceed operational time. Research into more efficient actuators, energy-harvesting techniques, and advanced battery chemistries aims to extend operational windows. Some commercial deployments address this limitation through battery-swap systems or scheduled charging rotations.
Safety in humanoid robotics is paramount because these robots operate in close proximity to humans. Design approaches include compliant actuators that absorb impact forces, real-time collision prediction systems, force-limited joints that automatically reduce power when unexpected contact occurs, and emergency stop mechanisms accessible to nearby humans. International safety standards like ISO 13482 for personal care robots provide frameworks for evaluating safety, but the field is still developing standards specific to general-purpose humanoid systems. Buyers should inquire about safety testing, certifications, and the robot's behavior in failure modes.
The humanoid robotics field is advancing rapidly on multiple fronts. Improvements in foundation models are enabling more generalizable intelligence. New actuator designs are making robots lighter and more efficient. Manufacturing scale is driving down costs. Over the next several years, expect humanoid robots to transition from controlled industrial environments to more varied commercial and eventually residential settings. The convergence of better AI, cheaper hardware, and proven deployment experience will accelerate adoption across industries.
The DAKSHA (TARA Gen 2) by iHub Robotics incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the DAKSHA (TARA Gen 2), see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
How this robot compares in the humanoid landscape
iHub Robotics has not publicly disclosed pricing for the DAKSHA (TARA Gen 2), which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
The DAKSHA (TARA Gen 2)'s 3 sensor types provide solid perceptual coverage for its intended use cases. This mid-range sensor suite balances cost with capability, covering the essential modalities needed for humanoid applications.
As a robot still in development, the DAKSHA (TARA Gen 2) represents iHub Robotics's vision for where humanoid robotics is heading. Specifications may evolve before commercial release, and early performance demonstrations should be evaluated with this context in mind.
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of iHub Robotics's portfolio and market strategy, visit the iHub Robotics manufacturer page.
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the DAKSHA (TARA Gen 2) should be read as a humanoid platform aimed at human-scale workplaces and pilot automation programs. ui44 currently tracks 16 capability signals, 3 sensor inputs, and a last verification date of 2026-05-09. That mix gives buyers a useful first-pass picture, but it is still only the public layer of due diligence, especially when procurement, uptime, and support commitments are decided directly with iHub Robotics.
Commercial model
Pricing not public
No public manufacturer pricing announced; iHub's product page currently offers early-access booking rather than a public checkout. Third-party price ranges are not treated as official pricing.. That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Integration posture
1 connectivity option
The profile lists Not publicly disclosed, plus Viveka Decision Core AI, described by iHub as a VLA orchestration engine for contextual world understanding, multimodal reasoning, long-horizon task planning, natural-language command execution, and self-improving execution; detailed onboard compute is listed only as upgradeable AI compute. as the AI stack. That is enough to infer the basic network posture, but buyers should still confirm APIs, fleet management, and workflow integration details. ui44 currently tracks 2 declared compatibility links.
Spec disclosure
7/7 core specs public
The profile exposes the full operating-envelope set that ui44 tracks for this section, giving buyers a relatively clear starting point for technical validation.
The current profile is detailed enough to support early comparison work, shortlist creation, and cross-checking against other humanoid robots. It is still worth validating the final deployment package, because integration services, support coverage, software entitlements, and site-preparation requirements often sit outside the raw hardware spec sheet.
If you want a faster apples-to-apples read, compare the DAKSHA (TARA Gen 2) against nearby alternatives in ui44's compare view, then cross-check the underlying AI, sensor, and subsystem terms in the components glossary. For manufacturer-level context, the iHub Robotics profile helps anchor this robot inside the wider product lineup.
Practical guide from day one through years of ownership
Setting up a humanoid robot is substantially more involved than plug-and-play consumer devices. Expect a professional installation or guided setup process that includes physical unpacking and assembly (if shipped disassembled), initial calibration of joints and sensors, environment mapping and safety zone definition, network and cloud service configuration, and application-specific programming or task teaching. Plan for several hours to a full day of setup time, and budget for potential integration consulting if the robot needs to connect with existing systems. The manufacturer or a certified integrator should provide training on safe operation, emergency procedures, and basic troubleshooting.
Humanoid robots require regular maintenance to ensure safe and reliable operation. Monthly maintenance typically includes visual inspection of joints and actuators for wear, sensor cleaning (especially cameras and LiDAR), firmware and software updates, battery health checks, and calibration verification. Quarterly maintenance may include more thorough mechanical inspection, lubrication of moving parts, and performance benchmarking to detect gradual degradation. Keep a maintenance log and follow the manufacturer's recommended schedule precisely — humanoid robots are complex systems where small issues can cascade if not addressed promptly.
Humanoid robot software is evolving rapidly, and regular updates can significantly improve performance, add new capabilities, and patch security vulnerabilities. Most manufacturers provide over-the-air updates, but enterprise deployments may require staging and testing updates before rolling them out. Evaluate the manufacturer's update track record — frequent, well-documented updates indicate active development and long-term commitment. Be aware that major software updates may require recalibration or retraining of custom behaviors.
To maximize the useful life of a humanoid robot, avoid operating beyond specified payload limits, maintain a controlled environment (temperature, humidity), keep sensors clean and unobstructed, and address any unusual sounds or behaviors promptly. Battery longevity is improved by avoiding deep discharges and extreme temperatures during charging. Investing in a service contract with the manufacturer or a certified partner provides access to replacement parts and expertise that can extend the robot's productive life significantly beyond the standard warranty period.
For iHub Robotics-specific support resources and documentation, visit the iHub Robotics page on ui44 or check the manufacturer's official website at iHub Robotics's product page.
All DAKSHA (TARA Gen 2) data on ui44 is verified against official iHub Robotics sources, including spec sheets, product pages, and press releases. Last verified: 2026-05-09. Official source: iHub Robotics product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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