Vision-language-action (VLA) policies assume the embodiment on which they were trained and can fail when a joint fault changes how commanded actions are physically executed. Existing fault-recovery methods often require task-specific retraining, fault labels, explicit diagnosis, or privileged embodiment information. We...
Mohammad Khoshnazar, Mohammad Dehghani Tezerjani, De-Yuan Qu et al.· 0 citations
A generated video of a task the robot is about to perform is useful guidance only if it depicts the phase the robot is actually in. We show that temporal misalignment can turn a task-consistent generated future into actively harmful guidance. On CALVIN, a five-frame early shift nearly erases the benefit of generated fu...
Mohammad Khoshnazar, Mohammad Dehghani Tezerjani, Zhi-Yuan Gao et al.· 0 citations
This study explores the application of RL in the context of SLAM by enabling the agent to iteratively interact with and receive feedback from its environment, which facilitates the acquisition of navigation and mapping skills, thereby enhancing the robot's decision-making capabilities.
Mohammad Dehghani Tezerjani, Mohammad Khoshnazar, Mohammadhamed Tangestanizadeh et al.· Journal of Machine Learning...· 13 citations
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