Obstacle Avoidance with DS

Related lectures (31)

Page 2 of 4

Explores data-driven approaches to improve robot design, focusing on compliance, soft materials, and complex interactions.

Explores learning, adaptive control, cutting soft tissue, and robotic implementation for robots.

Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Explores challenges and future directions of collaborative robots in real-world scenarios from a human-centric perspective.

Delves into Human-Robot Interaction, student engagement, and learning analytics using multimodal data to enhance educational processes.

Delves into the definition and capabilities of robots based on various sources.

Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.

Explores computational robot design, morphological intelligence, simulation, and innovative contact dynamics solutions.

Delves into the necessity of complex organ systems in robots to enhance their abilities and lifespan.

Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.