MUNICH — In a bid to advance robotics and alleviate humans from perilous duties, Professor Majid Khadiv, the renowned Professor of AI Planning in Dynamic Environments at Technical University of Munich (TUM), unveils his groundbreaking project: ‘Automan’. Khadiv’s vision for ‘Automan’, the Autonomous Humanoid Robot, aims to transform the landscape of hazardous and repetitive tasks with the aid of machine learning. Bolstered by his membership in the Munich Institute of Robotics and Machine Intelligence, Khadiv embarks on a mission to revolutionize robotics, enabling humanoid robots to tackle tasks deemed too dangerous or mundane for humans, according to a press release published on EuropaWire.
Khadiv elucidates the intricacies of teaching robots seemingly mundane tasks, highlighting the vast disparity between human and robotic cognition. He explains that while tasks like tidying up an office post-lunch may seem routine for humans, they present significant challenges for robots. However, Khadiv remains undeterred, leveraging machine learning algorithms to imbue robots with ’embodied artificial intelligence’, enabling them to learn from vast datasets sourced from internet videos and adapt their motor skills accordingly.
Drawing from his illustrious career, Khadiv remains undaunted by challenges, having previously steered groundbreaking projects like the humanoid robot Surena and the bipedal Bolt. Despite arduous journeys fraught with setbacks, Khadiv’s unwavering determination underscores his belief in the transformative potential of robotics. As he ventures into uncharted territory with ‘Automan’, Khadiv’s resolve echoes a sentiment familiar to every researcher: persistence ultimately yields success.
