1What is a humanoid robot?
A robot designed to resemble a human
2Why are humanoid robots designed like humans?
To work in environments built for humans
3Which of the following is NOT one of the three main parts of a humanoid robot?
Wings
4The "brain" of a humanoid robot mainly uses ________.
Artificial Intelligence
5Which part allows a humanoid robot to hold objects?
Hands
6Why are humanoid robots becoming popular today?
Smarter AI, better technology, and computer simulation
7Computer simulation allows robots to do what?
Learn inside virtual environments
8Which technology helps robots make decisions?
Artificial Intelligence
9Approximately how many humanoid robots are expected to be produced this year?
50,000+
10Which country produces over 80% of the world's robots?
China
11Around how many companies are developing humanoid robots?
140+
12By 2035, the humanoid robot market may reach approximately how much?
\$38 Billion
13Which company developed Optimus?
Tesla
14Optimus is mainly designed for what?
Factory work
15Figure 03 was developed by which company?
Figure AI
16Which humanoid robot is known for being more affordable?
G1
17Which company developed Atlas?
Boston Dynamics
18Atlas is famous for what?
Athletic movements
19Digit was developed by which company?
Agility Robotics
20Digit mainly works in what type of place?
Warehouses
21Which robot is designed mainly for home use?
NEO
22NEO was developed by which company?
1X Technologies
23What is the first step in how a humanoid robot works?
Sensing
24During the sensing stage, the robot mainly uses what?
Cameras and sensors
25Which step allows the robot to decide what action to take?
Thinking
26The planning stage helps the robot do what?
Calculate safe movements
27What powers the robot's movement?
Motors and batteries
28Which company is testing Figure robots?
BMW
29Digit is working with companies like which companies?
Amazon and Toyota
30Tesla is testing Optimus inside what location?
Tesla factories
31Which challenge refers to a robot's ability to work continuously?
Reliability
32What does manipulation refer to?
Handling objects
33Which objects are difficult for robots to handle?
Egg, glass, and cloth
34Safety and Trust mainly focuses on what?
Human interaction and safety
35Why are humanoid robots still expensive?
They use advanced technology and components
36What do some companies prefer to do instead of selling robots?
Rent robots
37What is the average battery life of most humanoid robots?
6–8 hours
38A larger battery usually makes the robot what?
Heavier
39Regulation mainly deals with what?
Laws and policies
40Which concerns are related to robot regulation?
Privacy, insurance, and responsibility
41Experts believe humanoid robots will become what?
More common
42Renting robots makes them what?
More accessible
43Humanoid robots are expected to become as common as what?
Electric vehicles
44Which country currently leads in robot manufacturing?
China
45Which country currently leads in AI software development?
USA
46Which challenge is related to battery life?
Power
47Which challenge focuses on preventing accidents between robots and humans?
Safety and Trust
48Are humanoid robots already used in some industries?
Yes
49What is the main goal of humanoid robots?
Assist humans in different tasks
50Which statement best summarizes humanoid robots?
Humanoid robots are real, useful, but still face technical and practical challenges
51What is Physical AI?
AI that interacts with the physical world through machines and robots
52What is the main role of Physical AI?
Make intelligent decisions based on real-world data
53What is Embodied Robotics?
The physical robot that carries out actions in the real world
54Which is an example of an embodied robot?
Sophia the humanoid robot
55What provides the "brain" in an autonomous system?
Physical AI
56What provides the "body" in an autonomous system?
Embodied Robotics
57Which stage comes first in an embodied robot's operation?
Perception
58Which stage analyzes collected data?
AI Processing
59During which stage does the robot choose what to do?
Decision
60Which stage allows the robot to move or perform a task?
Action
61What does feedback allow robots to do?
Learn and adjust to changes
62What is the basic operational cycle of Physical AI and embodied robotics?
Perception, AI Processing, Decision, Action, and Feedback
63What is an autonomous factory?
A factory that uses AI and automation with minimal human intervention
64What is the main goal of an autonomous factory?
Improve manufacturing efficiency
65Autonomous factories mainly reduce what?
Human intervention
66What is true about traditional factories?
They rely more on human supervision
67Traditional factory robots are usually what?
Fixed-program robots
68Autonomous factories mainly use what?
AI-powered adaptive systems
69What is predictive maintenance?
Predicting problems before they happen
70What does AI quality inspection help do?
Detect defects automatically
71Which statement best describes autonomous factories?
They combine intelligent technologies to improve production
72Where is the Xiaomi Changping Smart Factory located?
China
73What does Xiaomi's smart factory mainly manufacture?
Smartphones
74Approximately how many smartphones can Xiaomi's smart factory produce?
About 1 per second
75Self-driving production lines operate with what?
Minimal human intervention
76Which robot transports materials inside many autonomous factories?
AMR
77What does AMR stand for?
Autonomous Mobile Robot
78Which robot usually assembles products?
Robotic arm
79During production, what does AI mainly do?
Coordinates and monitors operations
80Which technology is commonly used for automated inspection?
Computer Vision
81What is the first stage in a product's journey?
Raw materials
82What happens after raw materials are prepared?
Material transport
83What usually comes after assembly?
AI quality inspection
84What happens after packaging?
Storage and shipping
85Do all self-driving production lines follow the exact same workflow?
No
86What does the workflow of a self-driving production line depend on?
The product and industry
87Which is a benefit of autonomous factories?
Higher productivity
88What does AI help improve in autonomous factories?
Product quality
89How do robots improve worker safety?
By doing hazardous tasks
90What is one challenge of autonomous factories?
High initial investment
91Why do employees need new skills?
To operate and maintain advanced systems
92Why is cybersecurity important in autonomous factories?
Factories use connected networks
93Physical AI mainly acts as what?
The brain
94Embodied Robotics mainly acts as what?
The body
95What do Physical AI and Embodied Robotics make possible together?
Smart manufacturing
96Which industry commonly uses autonomous factories?
Manufacturing
97Which healthcare technology is an example of embodied robotics?
Surgical robot
98Which industry uses autonomous tractors?
Agriculture
99Which company is known for warehouse robots?
Amazon
100As technology advances, Physical AI and Embodied Robotics will likely do what?
Be used in more industries
101Which statement best summarizes Physical AI and Embodied Robotics?
Physical AI provides intelligence, while embodied robotics performs actions
102What has redefined customer expectations around delivery speed in modern e-commerce?
Same-day and next-day delivery becoming the norm
103How are order volumes in e-commerce best described?
Volatile and unpredictable, with major spikes
104How is traditional warehouse automation best described?
Rigid and inflexible
105What is a limitation of rigid, fixed-path automation?
It cannot adapt to a sudden obstacle without human intervention
106Roughly how much can order volume spike during peak seasons?
3–5x
107What is a key drawback of scaling traditional, track-based automation systems?
Adding capacity requires new physical infrastructure
108How is Physical AI best defined?
The point where an AI "brain" meets a physical "body"
109Which is NOT typically part of a Physical AI system?
A word processor
110In the "brain meets body" analogy, what does the "brain" represent?
The AI model that reasons and decides
111What is the correct three-step loop used to describe how Physical AI operates?
Perceive, reason, act
112Which sensor types are commonly used for a robot to perceive its environment?
Cameras and LiDAR
113What distinguishes Physical AI from purely digital AI?
Physical AI can act on and manipulate the real world
114What does the catching-a-ball analogy illustrate?
The rapid perceive-reason-act loop happening almost instantly
115Why is Physical AI significant for warehouse robotics?
It allows robots to sense and interact with real, changing physical environments
116How is Agentic AI best defined?
The ability to make independent decisions to reach a goal
117In the wind-up toy versus dog analogy, what does the wind-up toy represent?
A rigid, fixed-script system
118What does an agentic robot do when conditions change unexpectedly?
It adapts its plan and adjusts its approach
119What does setting sub-goals mean in Agentic AI?
Breaking a larger goal into smaller, ordered steps
120What does the GPS rerouting analogy explain?
Adapting a plan in real time when conditions change
121What does self-correction mean in Agentic AI?
The system recognizes a mistake and tries a new approach
122How does an agentic robot differ from a traditional scripted robot?
It has a goal and determines its own path to reach it, rather than following one fixed route
123Which combination produces a robot that can sense and act in the real world and make independent decisions?
Physical AI + Agentic AI together
124How did individual robots typically operate in older systems?
In isolation, often with no awareness of other robots
125What is the key shift described in fleet coordination?
Moving from many isolated robots to one connected, intelligent network
126What is each robot typically aware of in a coordinated fleet?
Its location, its teammates' locations, and the shared goal
127What does the orchestra analogy illustrate?
Independent agents staying synchronized without a central controller dictating every action
128What does the absence of a single conductor represent?
Decentralized coordination emerging from many independent decisions
129What advantage does fleet coordination offer over isolated robot operation?
Robots can move as one coordinated system instead of working blindly around each other
130What four types of data do robots typically share continuously?
Location, speed and heading, intended path, and battery status
131What does the flock-of-birds analogy illustrate?
Decentralized coordination where each agent reacts to nearby neighbors
132What is a key benefit of decentralized coordination?
If one robot goes offline, the rest can still adapt and continue
133When a robot detects a blocked aisle or spill, what does it do first?
Detects the obstruction and flags it
134What happens immediately after a robot detects a blocked path?
It recalculates and computes an alternate route
135What does the sidewalk-walking analogy explain?
How robots naturally adjust their path around a sudden obstacle
136What is the purpose of real-time traffic optimization?
To predict and reflow congestion before it becomes a bottleneck
137What does the smart traffic light analogy illustrate?
A system that reacts to real-time conditions instead of running on a fixed timer
138What problem occurs without traffic optimization?
Robots converge on the same aisle at once, causing queues and reduced throughput
139What is the effect of combining dynamic rerouting and traffic optimization?
The fleet can handle individual obstacles and larger congestion patterns without human intervention
140Which is a key benefit of fleet-coordinated robotics?
Efficiency
141What does scalability mean in fleet-coordinated robotics?
The ability to add or remove robots without rebuilding fixed infrastructure
142How does error reduction occur in a coordinated robot fleet?
Through real-time sensing and correction that catches mistakes early
143What does the good dance partner analogy explain?
Human-robot safety
144How do robots respond when a human worker enters their path?
They sense the person and automatically slow down or yield
145Why does human-robot safety matter for shared warehouse spaces?
It allows humans and robots to safely work in the same area without cages or barriers
146Which analogy describes efficiency by minimizing wasted movement?
A river naturally finding the fastest path downhill
147What happens in the goods-to-person model?
A robot brings the shelving unit directly to a stationary human picker
148What analogy describes fleet software managing hundreds of coordinated robots?
Air traffic control at a busy airport
149Which future expansion of fleet coordination is mentioned?
Last-mile delivery robots and drones
150What is the central theme regarding the future of logistics?
The future warehouse is not just automated, but autonomous and collaborative with humans
151What does Agentic AI mean?
The ability to decide, not just execute
152What can an agentic robot do with a large objective?
Set sub-goals by breaking it into smaller, ordered steps
153How does Agentic AI respond to new information?
It updates its plan when conditions change
154How does Agentic AI self-correct?
It recognizes mistakes or dead ends and tries a new approach
155What is the dynamic rerouting sequence?
Detect, recalculate, and continue
156What are the key benefits of fleet-coordinated robotics?
Efficiency, scalability, error reduction, and human-robot safety
157How does continuous path optimization improve efficiency?
It cuts wasted travel distance
158How is idle time reduced in coordinated fleets?
Tasks are dynamically reassigned
159How can throughput scale during peak seasons?
Without adding new headcount
160How can new robots join a coordinated fleet?
Without reprogramming the system
161How does real-time sensing reduce errors?
It catches mis-picks before they leave the floor
162How does collision avoidance help warehouses?
It prevents damaged inventory and equipment
163How does continuous self-correction help robot fleets?
It reduces repeat mistakes over time
164What does predictive logistics do?
It anticipates demand and pre-positions inventory before it happens
165What does the AI system do instead of manually performing thousands of experiments?
Reads research papers and plans experiments
166Which is a capability of Agentic AI?
Planning and reasoning
167What does Agentic AI do after setting a goal?
Planning
168What does Physical AI interact with?
The physical world
169What does Physical AI use to perceive the environment?
Sensors
170What is a real-world application of Physical AI?
Autonomous Vehicles
171In the battery design example, what is the first step?
Understand the objective
172How does AI help in traditional scientific research?
By analyzing massive datasets
173What is a benefit of AI in drug discovery?
Faster research
174What does AI help discover in material discovery?
Better batteries
175Which field uses AI for DNA sequencing?
Biology and Genomics
176What is a limitation of AI?
It requires high-quality data
177What is a benefit of AI in climate science?
Better data analysis
178What does AI assist engineers with?
Designing products
179What is a use for AI in civil engineering?
Bridge inspection
180Which is part of the Agentic AI workflow?
Reflection
181What do actuators do in Physical AI?
Perform actions
182What is another real-world application of Physical AI?
Drones
183What does AI help improve in battery design?
Predictions
184What is an AI task in engineering?
Predicting failures
185What is the last step in the Agentic AI workflow?
Next Action
186Which area uses AI for wildfire detection?
Climate Science
187What does AI detect in Civil Engineering?
Cracks
188What is a challenge for AI?
Ethical and regulatory challenges
189Why is laboratory validation needed?
AI predictions may be incorrect
190What is a task in drug discovery?
Toxicity prediction
191What does AI help with in biology?
Gene analysis
192What is a benefit in mechanical engineering?
Lighter designs
193What is updated in the Agentic AI workflow?
Memory
194What does AI do in engineering?
Optimizing performance
195What is an application in climate science?
Flood prediction
196What is a benefit of AI research?
Reduced costs
197What do sensors do in Physical AI?
Perceive the environment
198What is an engineering application involving design?
Topology optimization
199What is the Reasoning step in the AI workflow?
Thinking and reasoning
200Where is Physical AI used?
Industrial Automation
201What do robotic laboratories do with AI?
Assist experiments
202What is a material discovery method?
Simulations
203What energy task does AI help with?
Renewable energy optimization
204What is an engineering benefit?
Stronger structures
205What comes before Action in the workflow?
Tool Selection
206What is used in personalized medicine?
AI applications
207What is a feature of AI?
Continuous learning
208What happens in traffic with AI?
Traffic optimization
209Where is warehouse automation used?
Physical AI
210What does AI do for mechanical engineering?
Thermal simulation
211Will AI replace scientists?
No
212What is analyzed in Genomics?
Disease mechanism
213What is a benefit of AI?
Improved productivity
214What is an engineering application involving structural evaluation?
Stress analysis
215What is an AI agent fundamentally defined as?
An LLM that acts as the decision maker in a workflow
216Which framework describes the core loop of an AI agent's behavior?
ReAct
217What does ReAct mean?
Reasoning + Act
218What distinguishes an AI workflow from an AI agent?
AI workflows follow human-defined logic; agents decide their own path
219What is the role of the orchestrator in a multi-agent system?
Break down tasks and delegate to specialized agents
220What is Autonomous Task Orchestration?
The system deciding who does what and when, without micromanagement
221What is RAG?
A process where AI looks things up before answering
222What is a Hallucination Cascade?
When one agent's wrong output is passed as truth to the next, multiplying errors
223What does shared memory do in a multi-agent setup?
Provides a common space where agent outputs are stored and built upon
224Which is a real-world example of an AI agent?
Devin completing a software engineering task end-to-end
225What is Prompt Injection?
A malicious instruction embedded in external content that the agent executes
226What makes something an AI workflow rather than an AI agent?
A human programmed the decision logic
227What happens after Act in the ReAct framework?
The agent observes the result and decides whether to iterate
228What best describes autonomous task orchestration?
The system dynamically deciding task allocation and execution order
229What makes multi-agent systems different from single-agent systems?
Multiple specialized agents collaborate, each with distinct roles and tools
230Which limitation is specific to AI workflows?
They fail when a question does not match the predefined path
231What does an AI agent do when its first attempt fails?
Reasons about what went wrong and tries an alternative approach
232What is Claude Code?
An agentic coding tool that operates in your development environment
233What is the primary risk of Loss of Control?
A high-autonomy agent makes a series of bad decisions before anyone notices
234What does the Observe step in the ReAct loop do?
Allows the agent to evaluate the outcome of its action and decide next steps
235What is the Code-First Stack?
Writing agents using Python libraries like LangChain or model APIs directly
236What is the Visual Stack?
Using no-code or low-code platforms like Make.com, n8n, or Langflow
237Which statement about Agentic AI is most accurate?
It is the same AI given autonomy, tools, memory, and a team
238What do specialized agents do?
Each agent has a specific domain and tools for that domain
239What is the significance of tools for an AI agent?
They are how agents take action in the world
240What problem does Agentic AI solve that a basic LLM cannot?
Taking multi-step actions to complete complex goals without constant human direction
241What is a Make.com workflow with 100 human-defined steps?
Still an AI workflow because a human defined the logic
242What role does iteration play in Agentic AI?
Agents can autonomously revise their own output based on self-evaluation
243What happens in a multi-agent system when a sub-task fails?
The orchestrator may reassign, retry, or try an alternative path
244Why do multi-agent systems run sub-tasks in parallel?
To complete independent tasks simultaneously, reducing total time
245What is the relationship between RAG and AI agents?
RAG is a type of AI workflow that agents may use as one of their tools
246What is an orchestrator agent?
A planner agent that breaks down the goal and delegates to specialized agents
247Which capability does Devin demonstrate most clearly?
End-to-end task completion with self-correction across multiple steps
248What does Agentic AI gets better with every run refer to?
Data from each run can inform future behavior
249What is the primary advantage of the Visual Stack?
It is faster to prototype and easier to iterate without writing code
250Why is Loss of Control a concern?
A high-autonomy agent can make many bad decisions before a human can intervene
251Which is NOT a failure mode of Agentic AI?
Parallel Execution
252What are the main failure modes of Agentic AI?
Hallucination Cascade, Prompt Injection, and Loss of Control
253What limitation of traditional LLMs does Agentic AI address?
Traditional LLMs were passive and had no access to external data or the ability to take actions
254What does memory enable in Agentic AI?
Agents can access and share context, intermediate results, and past decisions
255What makes Agentic AI architecturally different from a single LLM call?
It involves a loop of reasoning, action, observation, and iteration
256What is a writing agent responsible for?
Generating, drafting, and refining written content
257Why is Prompt Injection a serious security risk?
Agents that read external content may execute malicious instructions embedded in that content
258Which statement about the ReAct framework is correct?
It is the standard pattern where agents reason, act, observe, and loop
259What is the difference between Reasoning and Acting?
Reasoning is planning; Acting is execution using a tool
260Which scenario best illustrates an AI agent?
An LLM independently decides what to search, reads results, evaluates them, and iterates until it has a complete answer
261What is the role of checkpoints in autonomous task orchestration?
They are set points where the system evaluates progress and can course-correct before proceeding
262How does a multi-agent system handle a task that is too large for a single agent?
The orchestrator breaks it into sub-tasks and delegates each to a specialized agent
263What does it mean for Agentic AI to compound over time?
The system becomes progressively better as it accumulates run data and refines its approach
264What is the most significant architectural shift from traditional AI to Agentic AI?
The LLM moves from passive text generator to active decision maker with tools and a feedback loop
265What do tools refer to in Agentic AI?
External capabilities the agent can call, such as APIs, search engines, code interpreters, and file systems
266What is the bottom-line definition of Agentic AI?
The same AI given autonomy, tools, memory, and a team, producing a completely different result