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Mars Rovers (e.g., Perseverance): Due to the immense communication delays with Earth, these robots operate
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with significant autonomy, making decisions about their path, scientific observations, and sample collection on
their own, based on high-level commands from NASA.
Automated Guided Vehicles (AGVs) in Warehouses: These robots follow pre-defined paths or use navigation
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systems to transport goods within a facility without human drivers.
Semi-Autonomous Robots
Definition: A semi-autonomous robot is a robot that performs tasks with a degree of independence but still requires
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human oversight, input, or intervention for certain decisions, complex situations, or safety protocols.
Characteristics:
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Shared Control: Control is distributed between the human operator and the robot.
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Human Oversight: A human can monitor the robot’s actions, provide guidance, or override its decisions.
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Collaboration: Often designed to work closely with humans, rather than entirely replacing them.
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Specific Task Autonomy: May be fully autonomous for specific sub-tasks but requires human input for overall
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mission planning or handling anomalies.
Examples:
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Surgical Robots (e.g., Da Vinci Surgical System): The robot provides highly precise, tremor-free movements
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and enhanced 3D vision, but the surgeon is always in direct control, guiding the robotic arms from a console. The
robot enhances human capability rather than replacing it.
Drones for Aerial Surveying: A drone can fly autonomously along a pre-programmed path to collect data (e.g.,
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mapping a construction site). However, a human operator typically handles the launch, landing, monitors its
flight, and can take manual control if unexpected weather conditions or technical issues arise.
Industrial Collaborative Robots (Cobots): These robots work alongside human workers without safety cages.
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They can perform repetitive tasks autonomously, but if a human enters their workspace, they might slow down,
stop, or adjust their path, often requiring human instruction for new tasks or problem-solving.
Advanced Driver-Assistance Systems (ADAS) in Cars: Features like adaptive cruise control, lane-keeping
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assist, and automatic emergency braking are semi-autonomous. They assist the driver but do not fully take over
driving.
The distinction between autonomous and semi-autonomous operations is crucial in understanding the capabilities and
limitations of robots in various applications. As AI and sensor technologies continue to advance, the line between these
two categories will likely blur further, with more robots gaining higher levels of autonomy.

Ethical Considerations and The Future of Robotics

As robots become more sophisticated and integrated into our society, it becomes imperative to consider the broader
implications and future directions of this field.
Ethical Considerations

The rise of advanced robotics brings forth several ethical dilemmas that society must address:
1. Job Displacement: As robots become capable of performing tasks traditionally done by humans (e.g., manufacturing,
customer service, and even some analytical roles), there is a concern about potential job losses and the need for
workforce reskilling.
Example: How will society adapt if autonomous trucks replace human truck drivers on a large scale?
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2. Safety and Reliability: Ensuring that robots operate safely, especially when interacting with humans. This includes
preventing accidents, ensuring software reliability, and establishing clear protocols for malfunctions.
Example: Who is responsible if a self-driving car causes an accident? The manufacturer, the software developer,
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or the owner?

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