Lena Polanski Joi __exclusive__ Jun 2026

where (x_h) and (x_r) are the human and robot state vectors, (o) is the object state, (\phi) encodes perceived affordances, and (u_h, u_r) are control inputs. The loop is realized via a (Polanski, 2019) that fuses eye‑tracking, tactile, and force‑torque data.

Joint‑Object Interaction (JOI) refers to the coordinated manipulation of shared physical or virtual objects by multiple agents, typically a human and one or more autonomous systems. While early work on human‑robot interaction (HRI) focused on paradigms, recent trends emphasize shared agency , where both partners contribute perceptual, cognitive, and motor resources (Cox et al., 2020; Lee & Park, 2022). lena polanski joi

Recent systems incorporate deep reinforcement learning (DRL) for policy learning (Huang et al., 2021) and symbolic planners for interpretability (Miller & Zhou, 2023). However, many suffer from and latency when scaling to complex, multi‑object scenarios—issues directly addressed by Polanski’s later work. where (x_h) and (x_r) are the human and

Training employs a that encourages discriminative representations of functionally similar objects (Polanski & Kim, 2020). While early work on human‑robot interaction (HRI) focused