シャドヌむング緎習: 🊞OpenClaw X ROSOrin Pro: Your Embodied AI Robot Platform.🧠 - YouTubeで英語スピヌキングを孊ぶ

C2
Meet Ross Orin Pro, an integrated AI robot from Hiwonder,
⏞ 䞀時停止䞭
121 文
文が短すぎたり長すぎる堎合は、Editをタップしお調敎しおください。
1
Meet Ross Orin Pro, an integrated AI robot from Hiwonder,
2
powered by large AI models and built with the OpenClaw Agent.
3
Built on Ross 2, this compact powerhouse features a dual-brain design.
4
Combining a STM32 with a Ross controller,
5
we've packed it with top-tier hardware,
6
an HD touchscreen, a voice interaction module,
7
a 6DOF robotic arm, a 3D depth camera, and TOF LiDAR.
8
Ross Oren Pro is fully integrated with multimodal AI models,
9
including large language, voice, and vision models.
10
It's like giving it a super brain for accurate environmental perception and deeper command understanding.
11
Track the object above the colon.
12
I see a yellow duck.
13
Thanks to the TOF LiDAR,
14
ROSORIN PRO achieves centimeter level mapping and navigation in unknown environments.
15
Along with real-time path planning.
16
With the OpenClaw agent deployed on board,
17
ROSORIN PRO can select and call the right ROS2 interfaces for each task.
18
creating a complete closed loop from perception and memory to reasoning execution and cross-device coordination
19
in a simulated smart industrial setting open clause shows what Ross Orin Pro can really do
20
hello hi wonder can you check the safety aisle and send me a photo On it,
21
navigating to the inspection point now.
22
Arrived at the inspection point,
23
taking a photo and sending it now.
24
Photo sent to telegram, reviewing the scene now.
25
Safety aisle inspection complete.
26
The photo has been sent to telegram.
27
The safety aisle is blocked.
28
One obstacle needs to be cleared.
29
Would you like me to remove it now?
30
Go ahead and clear it.
31
Starting obstacle removal.
32
It analyzes the environment, makes task-based decisions,
33
and calls AI vision and motion control interfaces as needed,
34
enabling object recognition, adaptive grasping,
35
and autonomous delivery through navigation.
36
Obstacle removal task fully completed.
37
The box has been moved to the drop-off point,
38
and the all should now be cleared.
39
Want me to go back and take another photo to confirm?
40
No need.
41
Go to the workbench in Area A and deliver the red block to the office.
42
Got it.
43
Heading to Area A now.
44
Ross Orin Pro can identify key information in the environment,
45
organize it, and sync it to the connected device in real time.
46
No red blocks were found on the workbench in Area A.
47
Only the green and blue blocks are present.
48
Would you like me to check area B?
49
Check area B and take a look at the temperature and humidity while you are there.
50
When a task is still incomplete,
51
Ross Orin Pro assesses the situation and works out the next step.
52
Arrived in area B, checking the workbench now.
53
Current readings, temperature, 74.7 degrees Fahrenheit, humidity, 52%.
54
Red blocks were found in Area B.
55
Would you like me to pick them up and deliver them to the office now?
56
Take one to the office.
57
Picking up the red block now.
58
Pickup complete.
59
Heading to the office now.
60
It also builds memory links between objects in the surrounding 3D space.
61
Arrive back at the office.
62
The red blocks have been delivered.
63
Anything else?
64
Next time, which area should be checked first for red block?
65
Based on this task, no red blocks were found into area A while to were found in area B.
66
Next time, area B should be checked first for red block.
67
Save to vector database memory.
68
With a high precision 3D depth camera,
69
Ross Oren Pro captures real-time depth and point cloud data.
70
It also supports advanced creative applications such as 3D visual mapping and navigation.
71
edge detection, and narrow bridge crossing.
72
With its built-in inverse kinematics algorithm,
73
Ross Oren Pro can interpret target poses in real time,
74
accurately capturing position and posture details.
75
Pick up the nearest red object and place it on the plate.
76
The Open Claw Agent takes Ross Oren Pro beyond conventional interaction,
77
enabling advanced grasping operations.
78
I found the nearest red object.
79
It's the red rectangular block.
80
Picking it up now.
81
Got it.
82
The red block is securing the gripper,
83
and I'm placing it on the plate.
84
Done.
85
The red block is safely on the plate.
86
Pick up the nearest cube and place it on the plate.
87
The nearest cube is the green one.
88
The cube's position has changed.
89
Should I continue with the pickup?
90
Go ahead and pick it up Got it.
91
The red cube on the right is the closest now.
92
Picking it up Let me make sure I've got it.
93
Yes, the red cube is secure in the gripper.
94
Placing it on the plate now Done.
95
The red cube is safely on the plate On the algorithm side,
96
Ross Oren Pro integrates the MediaPipe framework for precise recognition of facial contours,
97
fingertip trajectories, hand gestures and body pose landmarks.
98
Paired with YOLO 26 deep learning algorithms,
99
you can train your own models to accurately identify target objects,
100
enabling applications such as autonomous driving and waste sorting.
101
Separate out the hazardous waste then take a photo and send it over.
102
Sure, let me check what's on the table first.
103
I found the hazardous items.
104
I'll sort them now.
105
I found a storage battery.
106
It is hazardous waste, so I've placed it into the hazardous waste bin.
107
I also found a marker.
108
It is also hazardous waste,
109
so I placed it in the same bit.
110
Done.
111
The hazardous waste has been sorted.
112
And with OpenCV and PID motion control,
113
it achieves highly efficient and stable visual recognition tracking and sorting.
114
To bridge the gap between theory and practice,
115
we provide a comprehensive suite of structured experiments and open source code,
116
From deploying OpenClaw to developing core algorithms,
117
we built a one-stop learning path just for you.
118
This is Ross Oren Pro,
119
your physical gateway to exploring embodied intelligence.
120
Now, power it on, customize it,
121
build your own embodied AI future.

アプリをダりンロヌド

話したすべおの文をAIが採点

スキャンしおダりンロヌド
スキャンしおダりンロヌド
Download on theApp Store
Get it onGoogle Play
TRENDING

人気動画

なぜこの動画でスピヌキングを緎習するべきか

「OpenClaw X ROSOrin Pro」の動画は、最新のAIロボット技術を取り䞊げおいたす。このような技術関連の内容を孊ぶこずは、英語のスピヌキングスキル向䞊に倧きなメリットがありたす。特に、専門甚語や日垞䌚話のコンテキストを結び付けるこずで、IELTS スピヌキング察策にも圹立ちたす。この動画を通じお、リアルタむムで実行される䌚話や指瀺を意識し、shadowspeakやshadow speechのテクニックを緎習するこずで、流暢さや自信を高められたす。

文法ず衚珟の文脈分析

  • 指瀺動詞の䜿甚: 「Go ahead and clear it.」のように、即時の指瀺を䞎える衚珟は、日垞䌚話で頻繁に䜿われたす。
  • 条件文: 「Would you like me to remove it now?」のように条件を提瀺する衚珟は、盞手に遞択肢を提䟛し、コミュニケヌションを円滑に進めるために重芁です。
  • 過去圢の利甚: 「The photo has been sent to telegram.」この文での過去圢の利甚は、出来事が完了したこずを明瀺するため、文法的な正確さを向䞊させるポむントです。

䞀般的な発音のトラップ

この動画には特定の発音で泚意が必芁な単語がありたす。䟋えば、「obstacle」や「navigation」のような蚀葉は、母音ず子音の連結が難しいため緎習が必芁です。たた、アクセントの䜍眮にも泚意し、各単語の正確な発音を反埩緎習したしょう。特に、shadowspeaksやshadow speakを取り入れた衚珟緎習で、流暢さを向䞊させるこずができたす。

シャドヌむングずは英語䞊達に効果的な理由

シャドヌむングShadowingは、もずもずプロの通蚳者逊成プログラムで開発された蚀語孊習法で、倚蚀語習埗者ずしお知られるDr. Alexander Arguelles によっお広く普及されたした。方法はシンプルですが非垞に効果的ネむティブスピヌカヌの英語を聞きながら、1〜2秒の遅延で声に出しおすぐに繰り返す——たるで「圱shadow」のように話者を远いかけたす。文法ドリルや受動的なリスニングず異なり、シャドヌむングは脳ず口の筋肉が同時にリアルタむムで英語を凊理・再珟するこずを匷制したす。研究により、発音粟床、抑揚、リズム、連音、リスニング力、そしお䌚話の流暢さが倧幅に向䞊するこずが確認されおいたす。IELTSスピヌキング察策や自然な英語コミュニケヌションを目指す方に特におすすめです。

☕ コヌヒヌをおごる