Recentemente, uma notícia emocionante veio do campo do robô humanóide . no Instituto Internacional de Pesquisa de Inteligência Artificial da Frontier de Pequim, sediou as atividades de "Walth to the Songyan Power", o fundador de Silmaloot da Silmalid, do Silmen, o Silmen Silmalot Humanoid, o robô humano da empresa, o robô humano -robô da empresa "Small Urchin" em Yizang, em Yizanid Humanoid, Humanoid Humanoid. Urchin "ganhou a medalha de prata . demanda de mercado aumentou, apenas em um mês para obter mais de 1, 000, o tamanho atual da ordem total excedeu 2, 000 unidades, o valor total do contrato de mais de 100 milhões de yuan .}
Cheolwon Kang gave an in-depth analysis of the application of deep reinforcement learning in the field of robotics and shared the breakthroughs in humanoid robotics technology of Songyan Dynamics at the event. He pointed out that the application idea of Deep Reinforcement Learning mainly consists of four phases: algorithm design, simulation training, sim2sim (Simulation-to-Simulation), and deployment of real Máquina . Esta estrutura tecnológica fornece um forte suporte para melhorar o desempenho do movimento do robô .
De acordo com Cheolwon Kang, a Songyan Dynamics formou duas principais linhas de produtos, incluindo robôs humanóides bípedos (N2 e N1) e simulação robôs humanóides . Esses robôs não apenas têm excelente desempenho de movimento, mas também têm uma ampla gama de aplicativos em potencial, com o objetivo de tornar os robôs realmente acessíveis a miliones de famílias {3 {3.}}}.}}} {3.}}}}..}}}.} {3)
Em termos de aprendizado profundo de reforço, Cheolwon Kang explicou em detalhes a matemática por trás dele - Processo de Decisão de Markov (MDP) . Ele enfatizou que, através da combinação de aprendizado profundo e aprendizado de reforço, a capacidade de percepção e tomada de decisão dos robôs pode ser significativamente melhorada, percebendo o controle de movimento mais eficiente e inteligente.}
Cheolwon Kang also shared Songyan Power's specific thoughts on deep reinforcement learning applications. He said that the company focuses on applying deep reinforcement learning technology in motion control, grasping, navigation and obstacle avoidance scenarios, and continuously optimizes the performance of the robot through steps such as algorithm design, simulation training, sim2sim validation, and deployment of real máquinas .
On the scene of the event, Wang Sheng, chairman of Beijing Frontier International Artificial Intelligence Research Institute and partner of InnoAngel Fund, also expressed his views. He believes that the current AI industry is in a stage of rapid development, although the super application has not yet appeared, but with the continuous progress of technology and the increasing maturity of the market, the future is expected to give birth to more disruptive AI Aplicações .
Sheng Wang also pointed out that the body intelligence industry is still in the early development stage, and the technical route has not yet converged. However, this does not mean a lack of market demand. In fact, with the continuous progress of technology and cost reduction, embodied intelligence has already shown a wide range of application prospects in colleges and universities, research institutes and other fields. Some innovative Cenários de consumidores, como o Leasing Wedding, também trouxeram novas oportunidades de desenvolvimento para a indústria de inteligência incorporada .
Songyan Power's new company is located in Beijing's Changping District, which, as one of the important layout areas for Beijing's robotics industry, has already gathered many new types of enterprises and formed a favorable industrial ecology. Jiang Cheolwon said that in the future, Songyan Power will continue to increase its R&D investment in humanoid robotics technology and continuously improve the performance and quality of its products to meet the growing demanda de mercado .