Description
- DOBOT Atom D EDU Data Collection Humanoid Robot
- All-in-one package with dexterous hand, wrist cameras, teleoperation kit, and AI toolchain included
- 16 total DoF with dual 7-DoF arms and a 2-DoF head for manipulation-focused data workflows
- Integrated 1500 TOPS AI computing module with Intel i9 and 16GB GDDR6 GPU for edge inference
- ±0.05mm repeat positioning accuracy and 3.5kg rated payload per arm
- Full HD binocular head camera, Intel RealSense D455 depth sensor, plus dual wrist-mounted RGB-D cameras
- Bundled VR teleoperation kit, 6-DoF dexterous hand, and embodied AI data toolchain as standard
The DOBOT Atom D EDU Data Collection Humanoid Robot is the fully-equipped education configuration of DOBOT’s compact upper-body humanoid platform, purpose-built for large-scale embodied AI data collection. Rather than a full-body bipedal robot, the Atom-D focuses exclusively on the arms and head, delivering the same industrial-grade dual-arm precision found in the full Atom series within a smaller, stationary form factor suited to lab and classroom environments. The EDU package bundles every major optional component of the standard version into a single turnkey system, so research programs can start collecting high-quality demonstrations from day one without sourcing accessories separately. Its binocular camera system is tuned to minimize VR and MR motion artifacts during teleoperation sessions, ensuring clean visual recordings for imitation learning pipelines. The platform is built for universities, embodied AI research groups, and training programs that need a complete, ready-to-deploy manipulation data collection station.
At the heart of the EDU configuration is an onboard high-performance AI computing module that enables real-time edge inference for perception and control, removing the dependence on external GPU hardware during development. Head-mounted stereo and depth cameras combined with dual wrist-mounted depth sensors provide structured multi-view visual data that feeds directly into model training workflows. Operators interact with the robot through a bundled VR teleoperation kit, allowing immersive demonstration recording that captures natural human motion for behavior cloning and imitation learning. Ethernet connectivity links the platform to external collection and processing infrastructure, supporting high-throughput pipelines across multiple robot stations. An included software toolchain provides the scaffolding research teams need to organize, annotate, and scale manipulation datasets efficiently from day one.
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Why Buy From Robqo
Authorized Distributor
Full manufacturer-backed warranty coverage and dedicated product support
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Complete end-to-end logistics management, including customs clearance
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All pre-sales and post-sales support handled by our dedicated team
Documentation & Resources
Full access to detailed technical guides and a comprehensive knowledge base
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Data Collection Humanoid Robot
DOBOT Atom D EDU
Fully-bundled dual-arm data collection platform with onboard AI compute, VR teleoperation, and dexterous hand included as standard.
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Total DoF
16
Single Arm Payload
3.5 kg
Arm Accuracy
±0.05mm
AI Compute
1500 TOPS
Height
~650mm
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Platform Features
The DOBOT Atom-D delivers industrial-grade dual-arm precision and high-fidelity binocular vision in a compact, stationary upper-body form factor purpose-built for AI data collection workflows.
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Capabilities
The DOBOT Atom-D EDU combines industrial-precision dual arms, a multi-camera vision system, and onboard AI compute into a ready-to-deploy platform that ships with every major data collection component included.
Precision Dual-Arm Manipulation
Dual seven-degree-of-freedom arms share the same architecture as the full Atom series, delivering industrial-grade repeatability for consistent, high-quality demonstration recording. The included 6-DoF dexterous hand lets teams begin capturing fine manipulation tasks immediately, without sourcing a separate end-effector.
Multi-View Vision Coverage
A 60FPS Full HD binocular camera and Intel RealSense D455 head depth sensor capture global scene context, while dual wrist-mounted RGB-D cameras (included) record close-range end-effector views. Together they produce structured multi-view visual data suited to training perception-aware manipulation models.
Onboard AI Computing
The bundled 1500 TOPS AI computing module, powered by an Intel i9 and 16GB GDDR6 GPU, enables real-time edge inference for perception and control directly on the platform. Research teams can develop, test, and deploy manipulation policies without depending on external GPU servers.
Turnkey Data Collection Stack
The EDU configuration ships with a VR teleoperation kit and an embodied AI data software toolchain, giving teams everything needed to run structured demonstration recording sessions from day one. Optional mobile base and additional end-effectors are available to extend the setup as programs scale.
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Use Cases & Application Scenarios
The DOBOT Atom-D EDU is built for teams that need a fully-bundled, lab-friendly platform for recording large volumes of high-quality manipulation demonstrations, without the footprint or complexity of a full bipedal humanoid and without sourcing accessories separately.
Turnkey Manipulation Data Collection
Research teams use the Atom-D EDU to record high-volume demonstration datasets for imitation learning and behavior cloning, with the dexterous hand, wrist cameras, teleoperation kit, and AI compute module all included from day one. The configuration removes the typical weeks of accessory procurement and integration work that slow down data collection programs.
VR Teleoperation & Demonstration Recording
The bundled VR teleoperation kit and motion-artifact-tuned binocular camera let operators run fluid teleoperation sessions with less fatigue, producing cleaner and more consistent demonstrations. Sessions can be recorded across a range of task types and object configurations to build diverse training sets.
Classroom & Lab AI Training Programs
Universities and embodied AI courses can deploy the Atom-D EDU as a compact, shared training platform that fits standard lab benches. Because it ships ready to use, instructors can focus class time on embodied AI concepts instead of hardware integration and accessory setup.
Edge-Inference Policy Development
The onboard 1500 TOPS AI module lets teams train and validate manipulation policies with real-time inference directly on the platform, without routing through external GPU servers. This shortens iteration cycles when developing task-specific models that will later transfer to full humanoid platforms sharing the same arm architecture.
Multi-Unit Data Infrastructure
Organizations building large-scale embodied AI datasets can run multiple Atom-D EDU units in parallel, connected over Ethernet to centralized collection infrastructure. The bundled, standardized configuration simplifies deployment across labs where consistent hardware setup across stations is required.
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.rs-inc, .rs-inc *{ box-sizing:border-box; }
.rs-inc .wrap{
border-radius:var(–inc-radius);
background:var(–inc-bg);
border:0;
box-shadow:0 4px 16px rgba(11,18,32,.08), 0 1px 4px rgba(11,18,32,.06);
overflow:hidden;
padding:var(–inc-pad);
}
.rs-inc .titlebar{
display:flex;
align-items:flex-end;
justify-content:space-between;
gap:12px;
margin:0 0 12px 0;
padding:0 0 10px 0;
border-bottom:1px solid rgba(11,18,32,.10);
}
.rs-inc .title{
margin:0 !important;
font-family:’Poppins’,sans-serif;
font-size:18px;
font-weight:550;
color:var(–inc-txt) !important;
letter-spacing:.2px;
}
.rs-inc .badge{
margin:0 !important;
color:var(–inc-muted) !important;
font-weight:500;
font-size:12px;
letter-spacing:.2px;
white-space:nowrap;
}
.rs-inc .badge b{ color:var(–inc-accent); }
.rs-inc .card{
border:1px solid rgba(11,18,32,.14);
border-radius:12px;
background:#ffffff;
padding:12px;
min-width:0;
}
.rs-inc .rowhead{
display:flex;
align-items:center;
gap:10px;
margin:0 0 10px 0;
}
.rs-inc .label{
margin:0 !important;
font-family:’Poppins’,sans-serif;
font-weight:600;
letter-spacing:.2px;
text-transform:uppercase;
font-size:12px;
color:rgba(11,18,32,.70) !important;
}
.rs-inc .bul{
width:100%;
border-collapse:collapse !important;
border-spacing:0 !important;
border:0 !important;
margin:0;
box-shadow:none !important;
background-image:none !important;
outline:0 !important;
}
.rs-inc .bul tbody,
.rs-inc .bul tr,
.rs-inc .bul td{
border:0 !important;
box-shadow:none !important;
background-image:none !important;
outline:0 !important;
}
.rs-inc .bul td{
padding:0;
vertical-align:top;
}
.rs-inc .bul .b{
width:var(–inc-indent);
padding-right:10px;
color:rgba(11,18,32,.35);
font-size:14px;
line-height:1.5;
}
.rs-inc .bul .t{
font-size:14px;
font-weight:500;
line-height:1.5;
color:var(–inc-txt);
padding-bottom:6px;
}
.rs-inc .bul tr:last-child .t{ padding-bottom:0; }
.rs-inc .note{
margin:10px 0 0 0;
color:var(–inc-muted);
font-size:12px;
line-height:1.35;
}
@media (max-width: 640px){
.rs-inc .wrap{ padding:14px; }
}
| • | DOBOT Atom D EDU Data Collection Robot (without battery) |
| • | Charger |
| • | User Manual |
| • | 1500 TOPS AI Computing Module |
| • | Wrist-Mounted RGB-D Camera (2 pc) |
| • | 6-DoF Dexterous Hand (2 pc) |
| • | Teleoperation Kit (VR Glasses + Software) |
| • | Embodied AI Data Toolchain |
Battery pack available as an optional accessory. Mobile base available separately.
padding-top:18px;
–dims-bg:#f8f8f8;
–dims-line:rgba(11,18,32,.14);
–dims-txt:#0b1220;
–dims-muted:rgba(11,18,32,.70);
–dims-accent:#00446a;
–dims-radius:15px;
–dims-pad:16px;
–dims-indent:18px;
font-family:’Arimo’,system-ui,-apple-system,Segoe UI,Roboto,Arial,sans-serif;
color:var(–dims-txt);
}
.rs-dims, .rs-dims *{ box-sizing:border-box; }
.rs-dims .wrap{
border-radius:var(–dims-radius);
background:var(–dims-bg);
border:0;
box-shadow:0 4px 16px rgba(11,18,32,.08), 0 1px 4px rgba(11,18,32,.06);
overflow:hidden;
padding:var(–dims-pad);
}
.rs-dims .titlebar{
display:flex;
align-items:flex-end;
justify-content:space-between;
gap:12px;
margin:0 0 12px 0;
padding:0 0 10px 0;
border-bottom:1px solid rgba(11,18,32,.10);
}
.rs-dims .title{
margin:0 !important;
font-family:’Poppins’,sans-serif;
font-size:18px;
font-weight:550;
color:var(–dims-txt) !important;
letter-spacing:.2px;
}
.rs-dims .badge{
margin:0 !important;
color:var(–dims-muted) !important;
font-weight:500;
font-size:12px;
letter-spacing:.2px;
white-space:nowrap;
}
.rs-dims .badge b{ color:var(–dims-accent); }
.rs-dims .hi{
display:grid;
grid-template-columns:repeat(12,minmax(0,1fr));
gap:10px;
}
.rs-dims .tile{
grid-column:span 6;
border:1px solid rgba(11,18,32,.14);
border-radius:12px;
background:#ffffff;
padding:12px;
min-width:0;
}
.rs-dims .tile b{
display:block;
font-family:’Poppins’,sans-serif;
font-size:12px;
letter-spacing:.2px;
color:rgba(11,18,32,.65);
margin-bottom:8px;
line-height:1.15;
font-weight:600;
text-transform:uppercase;
}
.rs-dims .bul{
width:100%;
border-collapse:collapse !important;
border-spacing:0 !important;
border:0 !important;
margin:0;
box-shadow:none !important;
background-image:none !important;
outline:0 !important;
}
.rs-dims .bul tbody,
.rs-dims .bul tr,
.rs-dims .bul td{
border:0 !important;
box-shadow:none !important;
background-image:none !important;
outline:0 !important;
}
.rs-dims .bul td{
padding:0;
vertical-align:top;
}
.rs-dims .bul .b{
width:var(–dims-indent);
padding-right:10px;
color:rgba(11,18,32,.35);
font-size:14px;
line-height:1.5;
}
.rs-dims .bul .t{
font-size:14px;
font-weight:500;
line-height:1.5;
color:var(–dims-txt);
}
.rs-dims .note{
margin:10px 0 0 0;
color:var(–dims-muted);
font-size:12px;
line-height:1.35;
}
@media (max-width: 640px){
.rs-dims .wrap{ padding:14px; }
.rs-dims .tile{ grid-column:1 / -1; }
}
Height
| • | ~650 mm |
Weight
| • | ~20 kg (without dexterous hands) |
Values shown are from the manufacturer’s reference. Full dimensional drawings are not currently available for this model.
.rs-links,.rs-links *{box-sizing:border-box;}
.rs-links hr{display:none !important;}
.rs-links .rsln-wrap{border-radius:var(–links-radius);background:var(–links-bg);border:0;box-shadow:0 4px 16px rgba(11,18,32,.08),0 1px 4px rgba(11,18,32,.06);overflow:hidden;padding:var(–links-pad);}
.rs-links .rsln-titlebar{display:flex;align-items:flex-end;justify-content:space-between;gap:12px;margin:0 0 12px 0;padding:0 0 10px 0;border-bottom:1px solid rgba(11,18,32,.10);}
.rs-links .rsln-title{margin:0 !important;font-family:’Poppins’,sans-serif;font-size:18px;font-weight:550;color:var(–links-txt) !important;letter-spacing:.2px;}
.rs-links .rsln-badge{margin:0 !important;color:var(–links-muted) !important;font-weight:500;font-size:12px;letter-spacing:.2px;white-space:nowrap;}
.rs-links .rsln-badge b{color:var(–links-accent);}
.rs-links .rsln-grid{display:grid;grid-template-columns:repeat(12,minmax(0,1fr));gap:10px;}
.rs-links .rsln-card{grid-column:span 12;border:1px solid rgba(11,18,32,.14);border-radius:12px;background:#ffffff;padding:12px;min-width:0;}
.rs-links .rsln-head{margin:0 0 10px 0 !important;font-family:’Poppins’,sans-serif;font-weight:600;letter-spacing:.2px;text-transform:uppercase;font-size:12px;color:rgba(11,18,32,.70) !important;}
.rs-links .rsln-item{display:flex;align-items:flex-start;gap:var(–links-gap);margin:6px 0;padding:0;}
.rs-links .rsln-item:first-child{margin-top:0;}
.rs-links .rsln-item:last-child{margin-bottom:0;}
.rs-links .rsln-bullet{width:var(–links-indent);flex:0 0 var(–links-indent);color:rgba(11,18,32,.35);font-size:14px;line-height:1.5;}
.rs-links .rsln-text{min-width:0;font-size:14px;font-weight:500;line-height:1.5;color:var(–links-txt) !important;overflow-wrap:anywhere;}
.rs-links .rsln-text a,.rs-links .rsln-text a:link,.rs-links .rsln-text a:visited{display:inline !important;font-size:inherit !important;line-height:inherit !important;font-weight:500 !important;color:var(–links-txt) !important;text-decoration:none !important;background:none !important;border:0 !important;padding:0 !important;margin:0 !important;opacity:1 !important;}
.rs-links .rsln-text a:hover{text-decoration:underline !important;text-underline-offset:2px;}
@media (max-width:640px){.rs-links .rsln-wrap{padding:14px;}}
padding-top:18px;
–cmp-bg:#f8f8f8;
–cmp-line:rgba(11,18,32,.14);
–cmp-txt:#0b1220;
–cmp-muted:rgba(11,18,32,.70);
–cmp-accent:#00446a;
–cmp-radius:15px;
–cmp-pad:16px;
–cmp-indent:18px;
font-family:’Arimo’,system-ui,-apple-system,Segoe UI,Roboto,Arial,sans-serif;
color:var(–cmp-txt);
}
.rs-cmp, .rs-cmp *{ box-sizing:border-box; }
.rs-cmp .wrap{
border-radius:var(–cmp-radius);
background:var(–cmp-bg);
border:0; box-shadow:0 4px 16px rgba(11,18,32,.08), 0 1px 4px rgba(11,18,32,.06); overflow:hidden;
padding:var(–cmp-pad);
}
.rs-cmp .titlebar{
display:flex; align-items:flex-end; justify-content:space-between;
gap:12px; margin:0 0 12px 0; padding:0 0 10px 0;
border-bottom:1px solid rgba(11,18,32,.10);
}
.rs-cmp .title{
margin:0 !important;
font-family:’Poppins’,sans-serif;
font-size:18px; font-weight:550;
color:var(–cmp-txt) !important;
letter-spacing:.2px;
}
.rs-cmp .badge{
margin:0 !important;
color:var(–cmp-muted) !important;
font-weight:500; font-size:12px; letter-spacing:.2px; white-space:nowrap;
}
.rs-cmp .badge b{ color:var(–cmp-accent); }
.rs-cmp .sectionlabel{
margin:12px 0 6px 0;
font-family:’Poppins’,sans-serif;
font-size:12px; color:var(–cmp-muted);
letter-spacing:.25px; font-weight:600; text-transform:uppercase;
}
.rs-cmp .hi{
display:grid; grid-template-columns:repeat(12,minmax(0,1fr));
gap:10px; margin:10px 0 10px 0;
}
.rs-cmp .tile{
grid-column:span 6;
border:1px solid rgba(11,18,32,.14);
border-radius:12px; background:#ffffff;
padding:12px; min-width:0;
}
.rs-cmp .tile b{
display:block;
font-family:’Poppins’,sans-serif;
font-size:12px; letter-spacing:.2px;
color:rgba(11,18,32,.65); margin:0 0 8px 0;
line-height:1.15; font-weight:600; text-transform:uppercase;
}
.rs-cmp .bul{
width:100%; border-collapse:collapse !important;
border-spacing:0 !important; border:0 !important; margin:0;
box-shadow:none !important; background-image:none !important; outline:0 !important;
}
.rs-cmp .bul tbody,
.rs-cmp .bul tr,
.rs-cmp .bul td{
border:0 !important; box-shadow:none !important;
background-image:none !important; outline:0 !important;
}
.rs-cmp .bul td{ padding:0; vertical-align:top; }
.rs-cmp .bul .b{
width:var(–cmp-indent); padding-right:10px;
color:rgba(11,18,32,.35); font-size:14px; line-height:1.5;
}
.rs-cmp .bul .t{
font-size:14px; font-weight:500; line-height:1.5;
color:var(–cmp-txt); overflow-wrap:anywhere;
}
.rs-cmp table.cmp-table,
.rs-cmp table.cmp-table thead,
.rs-cmp table.cmp-table tbody,
.rs-cmp table.cmp-table tfoot,
.rs-cmp table.cmp-table tr,
.rs-cmp table.cmp-table th,
.rs-cmp table.cmp-table td{
border:0 !important; border-collapse:collapse !important;
box-shadow:none !important; outline:0 !important;
background:transparent !important; background-color:transparent !important;
background-image:none !important;
}
.rs-cmp table.cmp-table{
width:100%; margin-top:10px;
border-top:1px solid rgba(11,18,32,.10) !important;
}
.rs-cmp table.cmp-table tr{ border-bottom:1px solid rgba(11,18,32,.08) !important; }
.rs-cmp table.cmp-table tr:last-child{ border-bottom:none !important; }
.rs-cmp table.cmp-table td{ padding:10px 0; vertical-align:top; font-size:14px; }
.rs-cmp table.cmp-table td:not(:last-child){ padding-right:14px; }
.rs-cmp .cmp-k{ color:var(–cmp-muted); font-weight:500; width:32%; }
.rs-cmp .cmp-v{ color:var(–cmp-txt); font-weight:500; overflow-wrap:anywhere; }
.rs-cmp .cmp-muted{ color:var(–cmp-muted); font-weight:500; }
.rs-cmp .cmp-head td{
font-family:’Poppins’,sans-serif;
font-size:12px; font-weight:600;
color:rgba(11,18,32,.65); text-transform:uppercase; letter-spacing:.2px;
padding-bottom:8px; border-bottom:2px solid rgba(11,18,32,.14) !important;
}
.rs-cmp .cmp-head td:first-child{ color:transparent; }
.rs-cmp .cmp-head td.cmp-active{ color:var(–cmp-accent); border-bottom-color:var(–cmp-accent) !important; }
.rs-cmp .cmp-v.cmp-active{ color:var(–cmp-txt); font-weight:550; }
.rs-cmp .cmp-head td.cmp-inactive{ color:rgba(11,18,32,.40); }
.rs-cmp .cmp-v.cmp-inactive{ color:rgba(11,18,32,.50); font-weight:500; }
@media (max-width: 980px){ .rs-cmp .tile{ grid-column:span 6; } }
@media (max-width: 640px){
.rs-cmp .wrap{ padding:14px; }
.rs-cmp .tile{ grid-column:1 / -1; }
.rs-cmp table.cmp-table,
.rs-cmp table.cmp-table thead,
.rs-cmp table.cmp-table tbody,
.rs-cmp table.cmp-table tr,
.rs-cmp table.cmp-table td{ display:block; width:100%; }
.rs-cmp .cmp-head{ display:none; }
.rs-cmp table.cmp-table tr{ padding:10px 0; }
.rs-cmp table.cmp-table td{ padding:0; padding-right:0 !important; }
.rs-cmp .cmp-k{ width:100%; padding-top:0; padding-bottom:4px; font-size:14px; border-bottom:1px solid rgba(11,18,32,.08); margin-bottom:4px; }
.rs-cmp .cmp-v{ display:block; padding:6px 0 2px 0; font-size:14px; }
.rs-cmp .cmp-v::before{ content:attr(data-model); display:block; font-family:’Poppins’,sans-serif; font-size:11px; font-weight:600; text-transform:uppercase; letter-spacing:.3px; color:rgba(11,18,32,.35); margin-bottom:2px; }
.rs-cmp .cmp-v.cmp-active::before{ color:var(–cmp-accent); }
.rs-cmp .cmp-v.cmp-inactive{ color:rgba(11,18,32,.45); }
}
Model Specific
Configuration
| • | Full bundle with AI compute, wrist cameras, dexterous hands, teleoperation kit, and AI toolchain |
AI Computing
| • | 1500 TOPS module included (Intel i9 + 16GB GDDR6 GPU) |
End Actuator
| • | 6-DoF Dexterous Hand x 2 included as standard |
Teleoperation
| • | VR Glasses + Software included as standard |
Comparison
| Atom D EDU | Atom D | |
| Height | ~650 mm | ~650 mm |
| Weight (without hands) | ~20 kg | ~20 kg |
| Full-Body DoF | 16 | 16 |
| Head DoF | 2 | 2 |
| Single Arm DoF | 7 | 7 |
| Single Arm Span | 600 mm | 600 mm |
| Single Arm Weight | ~6.5 kg | ~6.5 kg |
| Rated Arm Payload | 3.5 kg | 3.5 kg |
| Max Arm Load | 5 kg | 5 kg |
| Repeat Positioning Accuracy | ±0.05 mm | ±0.05 mm |
| Max End Speed | 1.5 m/s | 1.5 m/s |
| Joint Hollow Alignment | Yes | Yes |
| Head Sensor | Full HD Binocular Camera + Intel RealSense D455 | Full HD Binocular Camera + Intel RealSense D455 |
| Wrist Sensor | RGB-D Camera x 2 (included) | Optional |
| Audio Devices | None | None |
| Basic Computing Module | Intel i5 | Intel i5 |
| AI Computing Module | 1500 TOPS (Intel i9 + 16GB GDDR6) | Optional |
| End Actuator | 6-DoF Dexterous Hand x 2 (included) | Optional |
| Teleoperation Kit | VR Glasses + Software (included) | Optional |
| Embodied AI Data Toolchain | Included | Optional |
| Power Supply | AC (battery optional) | AC (battery optional) |
| SDK Support | Supported | Supported |
| Technical Support | Premium: Full documentation + ecosystem support | Premium: Full documentation + ecosystem support |
| Remote Service | 3 sessions/year | 3 sessions/year |
| Onsite Training | Not available | Not available |
| Warranty | 1 Year | 1 Year |
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