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arXiv Robotics research summaries for March 1, 2024.
Today's Research Themes (AI-Generated):
• Exploring model-based planning and control for bimodal terrestrial-aerial vehicles to enhance autonomous navigation.
• Introducing NBCagent for never-ending embodied robot learning to prevent skill knowledge forgetting.
• Proposing adversarial style sampling in multi-agent RL to robustify policies for assistive robots.
• Structured DNN-based controllers offer closed-loop stability for Lagrangian systems' trajectory tracking.
• Enhancing quadrupedal locomotion robustness using a deep reinforcement learning framework with random joint masking.
arXiv Robotics research summaries for March 1, 2024.
Today's Research Themes (AI-Generated):
• Exploring model-based planning and control for bimodal terrestrial-aerial vehicles to enhance autonomous navigation.
• Introducing NBCagent for never-ending embodied robot learning to prevent skill knowledge forgetting.
• Proposing adversarial style sampling in multi-agent RL to robustify policies for assistive robots.
• Structured DNN-based controllers offer closed-loop stability for Lagrangian systems' trajectory tracking.
• Enhancing quadrupedal locomotion robustness using a deep reinforcement learning framework with random joint masking.