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Perception is a system problem. One camera misses depth, occlusion, and hand interactions. Gen DAS Ego uses 6 synced cameras (270° FOV). What you get: cm-level joint tracking ms-level head–hand sync full coverage Built for real use: plug-and-play fit 24/7 swappable battery

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Genrobot.AI

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15,317 görüntüleme • 6 ay önce •via X (Twitter)

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Srikanth Vidapanakal profil fotoğrafı
Srikanth Vidapanakal6 ay önce

Why do you need 6 cameras? Is it not too redundant?

Rohan Paul profil fotoğrafı
Rohan Paul6 ay önce

I think, this is a serious attempt at fixing one of robotics’ least glamorous bottlenecks: getting interaction data that is actually usable.

Benzer Videolar

Introducing HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction. We built a multi-camera system and a semi-automatic method for annotating the shape and pose of hands and objects Project page:
1:00

Introducing HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction. We built a multi-camera system and a semi-automatic method for annotating the shape and pose of hands and objects Project page:

Yu Xiang

57,588 görüntüleme • 1 yıl önce

There are many ways to collect high-quality data. GenRobot seems to be closer to human-like methods. It uses a wearable exoskeleton robotic hand: a person simply wears the Gen DAS Dex and can flexibly complete various tasks, while simultaneously capturing the entire human motion trajectory and converting it into high-quality data for use by the humanoid robot. >23 degrees of freedom omnidirectional hand capture with millimeter-level precision >Tactile and visual fusion >Sub-millisecond head-hand synchronization
1:33

There are many ways to collect high-quality data. GenRobot seems to be closer to human-like methods. It uses a wearable exoskeleton robotic hand: a person simply wears the Gen DAS Dex and can flexibly complete various tasks, while simultaneously capturing the entire human motion trajectory and converting it into high-quality data for use by the humanoid robot. >23 degrees of freedom omnidirectional hand capture with millimeter-level precision >Tactile and visual fusion >Sub-millisecond head-hand synchronization

CyberRobo

18,098 görüntüleme • 7 ay önce

UBTECH officially launched Cruzr Y1 — a wheeled industrial humanoid built for factory material handling. 🤖 It is designed for bins, cartons, material loading, unloading, palletizing, depalletizing, and sorting. Specs that matter: → 360° omni-wheels + vertical lift for tight workshops and dense equipment areas → Harmonic joint arms with brakes and torque sensors for precise, stable handling → 360° safety perception with LiDAR, depth cameras, ToF, and IMU across the head, wrists, and chassis → 4+ hours under full load, with auto-charging and quick battery swap for 24-hour shift work
1:52

UBTECH officially launched Cruzr Y1 — a wheeled industrial humanoid built for factory material handling. 🤖 It is designed for bins, cartons, material loading, unloading, palletizing, depalletizing, and sorting. Specs that matter: → 360° omni-wheels + vertical lift for tight workshops and dense equipment areas → Harmonic joint arms with brakes and torque sensors for precise, stable handling → 360° safety perception with LiDAR, depth cameras, ToF, and IMU across the head, wrists, and chassis → 4+ hours under full load, with auto-charging and quick battery swap for 24-hour shift work

RoboHub🤖

12,797 görüntüleme • 4 ay önce

This isn’t just a watch, this is craftsmanship at the highest level. Hand engraved, extremely limited, and built for collectors who understand what makes something truly rare. Grand Seiko USA
1:25

This isn’t just a watch, this is craftsmanship at the highest level. Hand engraved, extremely limited, and built for collectors who understand what makes something truly rare. Grand Seiko USA

Kevin O'Leary aka Mr. Wonderful

28,704 görüntüleme • 6 ay önce

We built this demo in collaboration with a clinical pathology lab. It shows a single system doing real lab tasks: tool use, precision manipulation, and high level planning. This was done in one take with no teleop and uses our skills based AI to enable generality while staying deterministic and reliable for real world workflows. See more here:
0:54

We built this demo in collaboration with a clinical pathology lab. It shows a single system doing real lab tasks: tool use, precision manipulation, and high level planning. This was done in one take with no teleop and uses our skills based AI to enable generality while staying deterministic and reliable for real world workflows. See more here:

Kyber Labs

195,505 görüntüleme • 7 ay önce

Pretty hand👋 just like a real human hand. Hangzhou Xynova unveils the Flex 2 Hybrid-Drive Dexterous Hand (Cable-Driven + Direct-Driven). Tactile Perception, and the camera is positioned at the wrist joint rather than in the center of the palm. They will showcase the physical hand at ICRA 2026 in Vienna. (Humans have continuously replicated the hand that evolved two million years ago, while attempting to coordinate hand and brain.)
0:49

Pretty hand👋 just like a real human hand. Hangzhou Xynova unveils the Flex 2 Hybrid-Drive Dexterous Hand (Cable-Driven + Direct-Driven). Tactile Perception, and the camera is positioned at the wrist joint rather than in the center of the palm. They will showcase the physical hand at ICRA 2026 in Vienna. (Humans have continuously replicated the hand that evolved two million years ago, while attempting to coordinate hand and brain.)

CyberRobo

287,811 görüntüleme • 5 ay önce

In their latest video, Boston Dynamics’s AI team explains how they make the Atlas humanoid perceive and interact with the world. Atlas uses an agile perception system to understand both the shape and context of objects in complex environments. Atlas combines 2D and 3D awareness, keypoint-based localization, and an object pose tracking system that fuses vision, kinematics, and object knowledge to handle occlusion and uncertainty. Accurate calibration ensures precise hand–eye coordination for reliable manipulation. The team is now working toward a unified model that merges perception and control – pushing beyond spatial AI toward physical intelligence.
6:34

In their latest video, Boston Dynamics’s AI team explains how they make the Atlas humanoid perceive and interact with the world. Atlas uses an agile perception system to understand both the shape and context of objects in complex environments. Atlas combines 2D and 3D awareness, keypoint-based localization, and an object pose tracking system that fuses vision, kinematics, and object knowledge to handle occlusion and uncertainty. Accurate calibration ensures precise hand–eye coordination for reliable manipulation. The team is now working toward a unified model that merges perception and control – pushing beyond spatial AI toward physical intelligence.

The Humanoid Hub

50,160 görüntüleme • 1 yıl önce

You can do some pretty fun realtime VFX once the depth output is just another (Type)GPU buffer :D I basically yoinked my old 3D fire sim (that is actually a fluid sim but do not tell anyone) and plugged it into the depth pipeline together with hand tracking Everything here is built from scratch in TypeGPU, so inference, simulation and rendering can share GPU resources and interleave passes directly. That’s 2 NN inferences, a full 3D fluid sim, relighting and rendering in one command encoder, still under 16 ms with no CPU sync in between
0:36

You can do some pretty fun realtime VFX once the depth output is just another (Type)GPU buffer :D I basically yoinked my old 3D fire sim (that is actually a fluid sim but do not tell anyone) and plugged it into the depth pipeline together with hand tracking Everything here is built from scratch in TypeGPU, so inference, simulation and rendering can share GPU resources and interleave passes directly. That’s 2 NN inferences, a full 3D fluid sim, relighting and rendering in one command encoder, still under 16 ms with no CPU sync in between

Konrad Reczko

27,189 görüntüleme • 2 ay önce

Collecting data for dexterous hands is hard. Teleop needs a full setup. Bringing UMI-like devices to 20-dof hands is challenging. Introducing DexPort 🖐️: a hand-held interface w/ a real robot hand. No embodiment gap, recorded joint state AND actions, easy to use.
2:40

Collecting data for dexterous hands is hard. Teleop needs a full setup. Bringing UMI-like devices to 20-dof hands is challenging. Introducing DexPort 🖐️: a hand-held interface w/ a real robot hand. No embodiment gap, recorded joint state AND actions, easy to use.

Amber Xie

24,159 görüntüleme • 6 gün önce

Alpha isn’t chain-specific. Neither is The Hive. The Hive is a plug-and-play layer of intelligence for any chain. Aggregate data, interpret context, and surface opportunity - all chain-agnostic, all real-time. What you’re seeing: Hive agents tracking trending tokens across chains and surfacing holder-level insights. Designed for modularity. Powered by agents.
0:56

Alpha isn’t chain-specific. Neither is The Hive. The Hive is a plug-and-play layer of intelligence for any chain. Aggregate data, interpret context, and surface opportunity - all chain-agnostic, all real-time. What you’re seeing: Hive agents tracking trending tokens across chains and surfacing holder-level insights. Designed for modularity. Powered by agents.

The Hive

16,152 görüntüleme • 1 yıl önce

Some progress with this level. The level is called "Wanna play a game?" and it is a long level, the first section uses DKC3 Saw, Nids and Minkeys, second section use Treetop Rock graphics, Nids, Barrels and Ropes. Level made by 🌸『 V❎VIEN SWEETBRIER 』🌸 #smw #smwhacking #snes #romhacking
1:19

Some progress with this level. The level is called "Wanna play a game?" and it is a long level, the first section uses DKC3 Saw, Nids and Minkeys, second section use Treetop Rock graphics, Nids, Barrels and Ropes. Level made by 🌸『 V❎VIEN SWEETBRIER 』🌸 #smw #smwhacking #snes #romhacking

anonimzwx (Commisions Open)

27,369 görüntüleme • 11 gün önce

i hacked together a voxel editor using mediapipe hand tracking, threejs, and my macbook webcam one day i'll get some real AR glasses
0:31

i hacked together a voxel editor using mediapipe hand tracking, threejs, and my macbook webcam one day i'll get some real AR glasses

AA

166,024 görüntüleme • 11 ay önce

So cool...a humanoid just drove a go-kart for real. A Unitree G1 lowers itself into the tight cockpit, hands on the wheel, feet on the pedals, then runs the track， even drifts. It shows constrained whole-body loco-manipulation, mobile pick-and-place, and hand-eye-foot coordination in one sequence. This comes from China’s Symbiosis Robotics and their Direct Perception Control (DPC) model. It skips the usual high-level goals + tracker stack, mapping vision, language, body state and feedback straight to joint and hand targets. The focus is whole-body coordination for loco-manipulation. Interestingly, data diversity...Training used 15,010 hours of joint-aligned data-- 6,781h human egocentric, 4,024h armed robots, 3,660h wheeled humanoids, 545h bipedal. Teleop, head-mounted and egocentric sources were all converted into time-aligned joint trajectories across embodiments. A clean test that packs perception, balance and continuous whole-body control into one task chain ,and leaves room for other real-world scenarios.
1:17

So cool...a humanoid just drove a go-kart for real. A Unitree G1 lowers itself into the tight cockpit, hands on the wheel, feet on the pedals, then runs the track， even drifts. It shows constrained whole-body loco-manipulation, mobile pick-and-place, and hand-eye-foot coordination in one sequence. This comes from China’s Symbiosis Robotics and their Direct Perception Control (DPC) model. It skips the usual high-level goals + tracker stack, mapping vision, language, body state and feedback straight to joint and hand targets. The focus is whole-body coordination for loco-manipulation. Interestingly, data diversity...Training used 15,010 hours of joint-aligned data-- 6,781h human egocentric, 4,024h armed robots, 3,660h wheeled humanoids, 545h bipedal. Teleop, head-mounted and egocentric sources were all converted into time-aligned joint trajectories across embodiments. A clean test that packs perception, balance and continuous whole-body control into one task chain ,and leaves room for other real-world scenarios.

CyberRobo

76,216 görüntüleme • 2 ay önce

This is one of the coolest thing I made in UE5. A level made of functions and nodes, explaining in real time what you do as you play.
1:48

This is one of the coolest thing I made in UE5. A level made of functions and nodes, explaining in real time what you do as you play.

Fouad | فؤاد

218,015 görüntüleme • 3 yıl önce

Astra solved this hand-object reconstruction and tracking problem in one shot😂 It took us Jikai Wang Bowen Wen nearly two years to build a capture system and a pipeline to obtain accurate hand-object poses from multi-view videos. Some of our results:
0:30

Astra solved this hand-object reconstruction and tracking problem in one shot😂 It took us Jikai Wang Bowen Wen nearly two years to build a capture system and a pipeline to obtain accurate hand-object poses from multi-view videos. Some of our results:

Yu Xiang

41,149 görüntüleme • 1 ay önce