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Showing 1 to 5 of 5 for “"robotic behavior"”.

  1. Red Teaming Language Conditioned Robotic Behavior

    Natural language instruction following capabilities are important for robots to follow tasks specified by human commands. Hence, many language conditioned robots have been trained on a wide variety of datasets with tasks annotated by natural language instructions. However, these datasets are often …

    mit Repository record for Red Teaming Language Conditioned Robotic Behavior (opens in a new tab)

  2. Design of environments to control robotic behavior

    The improvement of robots is an ongoing and complex area of research. Whether those improvements are cost-efficiency, task completion, or versatility, the design changes are usually within the robots themselves. Although there are many applications of robots which require adaptation to an …

    uiuc Repository record for Design of environments to control robotic behavior (opens in a new tab)

  3. Towards Bacteria Inspired Stochastic Control Strategies for Microrobotic Swarm Intelligence

    Collective robotic behavior poses significant advantages over classical control methods such as system response and robustness. Biological cooperative communities have provided great insights for development of many control algorithms. Localized chemical signaling within bacterial communities is …

    vt Repository record for Towards Bacteria Inspired Stochastic Control Strategies for Microrobotic Swarm Intelligence (opens in a new tab)

  4. Behavior-specific proprioception models for robotic force estimation

    … proprioceptive sensing capabilities where even a robotic arm, e.g., the UR5, provides access to more than hundred sensor readings. Following this trend, it is getting feasible to utilize a wide variety of sensors for force estimation purposes. Human proprioception allows estimating forces such as …

    qucosa-diss

  5. MASSIVELY DISTRIBUTED NEUROMORPHIC CONTROL FOR LEGGED ROBOTS MODELED AFTER INSECT STEPPING

    Simulated RObot exhibiting behAvior CHanges (SimROACH) is a massively distributed control architecture for legged robots composed of simulated physiological neuron and synapse models. Its structure is based on insect neurobiology. Each joint uses a unique central pattern generator (CPG) to produce …

    ohiolink Repository record for MASSIVELY DISTRIBUTED NEUROMORPHIC CONTROL FOR LEGGED ROBOTS MODELED AFTER INSECT STEPPING (opens in a new tab)