From: mk_thisisit
The integration of artificial intelligence and robotics is leading towards a future where robots will possess senses and perceive the world [00:00:18](00:00:18). For a robot to perceive its environment, it must be equipped with sensors that collect data from the outside world [00:06:14](00:06:14). Without data, robots cannot make decisions [00:06:41](00:06:41).
Current State of Robot Senses
In recent years, significant developments have occurred in data processing tools for sound and images [00:06:46](00:06:46). Robots can now process visual and auditory information, enabling them to identify objects in pictures or recognize individuals [00:06:54](00:06:54). This allows the robot’s program to make decisions and perform specific actions [00:07:07](00:07:07).
Multimodal training, processing not only text but also images and sound, is enhancing the capabilities of AI models used in robotics [00:20:23](00:20:23). The combination of these factors will lead to even greater possibilities for models [00:20:38](00:20:38). High-level control of robots could potentially be managed by advanced AI like GPT-like models, planning actions based on text data [00:21:01](00:21:01).
Challenges in Specific Sensory Development
Touch
Developing a sense of touch for robots is considerably more difficult than sight or hearing [00:07:17](00:07:17). Key challenges include:
- Hardware Design It is challenging to design sensors that can accurately receive specific tactile information [00:07:22](00:07:22).
- Consumer Demand and Cost Progress in robotics often aligns with aspects that benefit a wider society [00:07:37](00:07:37). For senses like vision, consumer demand for better cameras drives technological development, making the technology cheaper and more accessible for robotics [00:07:49](00:07:49). For touch, there isn’t a comparable consumer application to drive initial technological breakthroughs [00:07:59](00:07:59). The initial versions of new sensors are often very expensive due to a lack of scale effect [00:08:09](00:08:09).
- Data Collection Unlike passive observation (e.g., taking a photo), collecting tactile data requires active interaction with the world [00:09:01](00:09:01). A robot would need to touch everything to gather data, which increases the risk of making mistakes or engaging in unwanted interactions [00:09:12](00:09:12).
Smell
The development of a sense of smell in robotics is highly unexplored [00:09:38](00:09:38). Challenges include the biological and chemical safety aspects of digitally processing or transmitting scents to human receptors [00:09:55](00:09:55).
Overall, challenges_in_ai_understanding_of_the_physical_world | limitations_of_current_ai_systems | challenges_in_ai_understanding_of_the_physical_world | challenges_in_ai_understanding_of_the_physical_world | challenges_in_ai_understanding_of_the_physical_world | challenges_in_ai_understanding_of_the_physical_world | Challenges in AI understanding of the physical world related to sensory development for robots highlight the need for further technological development and broader societal application to drive down costs and improve capabilities.