Deep reinforcement learning for robotics: A survey of real-world successes
Reinforcement learning (RL), particularly its combination with deep neural networks,
referred to as deep RL (DRL), has shown tremendous promise across a wide range of …
referred to as deep RL (DRL), has shown tremendous promise across a wide range of …
Octo: An open-source generalist robot policy
Large policies pretrained on diverse robot datasets have the potential to transform robotic
learning: instead of training new policies from scratch, such generalist robot policies may be …
learning: instead of training new policies from scratch, such generalist robot policies may be …
Rdt-1b: a diffusion foundation model for bimanual manipulation
Bimanual manipulation is essential in robotics, yet developing foundation models is
extremely challenging due to the inherent complexity of coordinating two robot arms …
extremely challenging due to the inherent complexity of coordinating two robot arms …
Igor: Image-goal representations are the atomic control units for foundation models in embodied ai
We introduce Image-GOal Representations (IGOR), aiming to learn a unified, semantically
consistent action space across human and various robots. Through this unified latent action …
consistent action space across human and various robots. Through this unified latent action …
CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
The advancement of large Vision-Language-Action (VLA) models has significantly improved
robotic manipulation in terms of language-guided task execution and generalization to …
robotic manipulation in terms of language-guided task execution and generalization to …
The colosseum: A benchmark for evaluating generalization for robotic manipulation
To realize effective large-scale, real-world robotic applications, we must evaluate how well
our robot policies adapt to changes in environmental conditions. Unfortunately, a majority of …
our robot policies adapt to changes in environmental conditions. Unfortunately, a majority of …
A survey on robotics with foundation models: toward embodied ai
While the exploration for embodied AI has spanned multiple decades, it remains a persistent
challenge to endow agents with human-level intelligence, including perception, learning …
challenge to endow agents with human-level intelligence, including perception, learning …
Prediction with Action: Visual Policy Learning via Joint Denoising Process
Diffusion models have demonstrated remarkable capabilities in image generation tasks,
including image editing and video creation, representing a good understanding of the …
including image editing and video creation, representing a good understanding of the …
RoboCAS: A Benchmark for Robotic Manipulation in Complex Object Arrangement Scenarios
Foundation models hold significant potential for enabling robots to perform long-horizon
general manipulation tasks. However, the simplicity of tasks and the uniformity of …
general manipulation tasks. However, the simplicity of tasks and the uniformity of …
Motion planning for 7-degree-of-freedom bionic arm: Deep deterministic policy gradient algorithm based on imitation of human action
B Li, S Qiu, H Ye, Y Guo, H Wang, J Bai - Engineering Applications of …, 2025 - Elsevier
Smart bionic arms have played a great role in returning amputees to society. However, most
of the current bionic arms are radial configuration type with few degrees of freedom and …
of the current bionic arms are radial configuration type with few degrees of freedom and …