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Daimon Robotics Debuts World's First Haptic Feedback System at CES 2026

Published

January 22, 2026

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3 min read

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Origin Of Bots Editorial Team

Daimon Robotics Debuts World's First Haptic Feedback System at CES 2026

CES Haptic Breakthrough

Daimon Robotics steals the spotlight at CES 2026 by unveiling the DM-EXton2, billed as the world's first haptic feedback teleoperation data acquisition system integrated into its Daimon One humanoid platform. This launch tackles a core challenge in robotics: gathering high-quality training data for autonomous operations. Operators now feel real-time contact forces and pressures through intuitive gloves or control pads, boosting precision in tasks like fragile object handling or blind insertions. The system promises to accelerate robot learning, bridging human intuition with machine execution in ways that could transform manufacturing and service sectors overnight.

Touch Revolution Unveiled

Engineers at Daimon Robotics have embedded vision-based tactile sensors into the Daimon One's biomimetic hands, delivering unprecedented touch sensitivity that mimics human fingertips. These sensors capture deformation, texture, slippage, and force in real time, allowing the robot to adjust grips dynamically for delicate items like electronics components or soft fabrics. Paired with the DM-EXton2's haptic return, teleoperators experience lifelike feedback, making remote control feel as natural as direct handling. This fusion redefines human-robot collaboration, turning novices into expert proxies for complex manipulations.

Daimon One - Image 1

Sensing Tech Leaps Forward

At the heart of this debut lies the DM-Tac W sensor, packing 40,000 units per square centimeter for multi-modal perception that outstrips human skin density. Integrated with the DM-Hand1's 11 degrees of freedom, it enables ±0.2 mm repeatability in movements, vital for precision assembly. The CES reveal highlights low-latency haptic loops that sync operator sensations with robot actions, even in low-visibility scenarios. Such advances stem from Daimon's hybrid control algorithms, blending visual and tactile data to pioneer embodied intelligence without bulky hardware.

Transforming Daily Operations

Imagine warehouse workers teleoperating Daimon One to sort irregular packages or lab technicians guiding precision wiring via haptic cues; these scenarios unfold with the new system. In smart factories, it supports assembly lines for intricate electronics, while service roles benefit from safe handling of perishables. Pilot projects already demonstrate gains in logistics and automation, where haptic insights cut error rates and speed data collection for AI training. By empowering humans to "teach" robots through feel, Daimon positions the platform as a versatile partner across industries.

Daimon One - Image 2

Dexterity Skill Blueprint

Daimon One's legged bipedal design, standing 180 cm tall at 60x40 cm base and weighing 75 kg, empowers fluid navigation at 1.5 km/h using SLAM, GPS, and LiDAR for human-like mobility in crowded spaces. Vision-tactile sensors, RGB-depth cameras, IMUs, force, and proximity detectors unlock dexterous interactions, like gently packaging breakables or wielding tools. A four-year battery sustains extended collaboration sessions, while ROS 2 on Linux with C++/Python APIs facilitates custom skills for assembly or teleoperation. Safety layers, including emergency stops and force limits, ensure trustworthy human proximity.

Rivals Edge Examined

Against DR01's raw speed, Daimon One trades velocity for tactile mastery, excelling in finesse over DR01's bulkier industrial focus. Dex lags in sensor density, lacking Daimon's vision-tactile fusion that nails delicate grips, though Dex offers superior arm reach. AgiBot X2 shines in multi-robot swarms but falters on haptic teleop depth, where Daimon leads for solo precision tasks. D9 prioritizes cost efficiency yet trails in battery endurance and navigation versatility. Daimon's haptic edge and exoskeleton compatibility position it strongest for R&D and skilled labor augmentation, despite modest speed.

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